ICLR 2026
5352 papers
(U)NFV: (Un)Supervised Neural Finite Volume Methods for Solving Hyperbolic PDEs
Nathan Lichtlé, Alexi Canesse, Zhe Fu, Hossein Nick Zinat Matin, Maria Laura Delle Monache, Alexandre M Bayen ``Noisier'’ Noise Contrastive Estimation Is (Almost) Maximum Likelihood
Peiyu Yu, Dinghuai Zhang, Hengzhi He, Xiaojian Ma, Sirui Xie, Ruiyao Miao, Yifan Lu, Yasi Zhang, Deqian Kong, Ruiqi Gao, Jianwen Xie, Guang Cheng, Ying Nian Wu <SO$G_k$>: One LLM Token for Explicit Graph Structural Understanding
Jingyao Wu, Bin Lu, Zijun Di, Xiaoying Gan, Meng Jin, Luoyi Fu, Xinbing Wang, Chenghu Zhou $\ell_1$ Latent Distance Based Continuous-Time Graph Representation
Zhao-Rong Lai, Zheng-Sen Zhou, Liangda Fang, Yongsen Zheng, Ziliang Chen $\mu$LO: Compute-Efficient Meta-Generalization of Learned Optimizers
Benjamin Thérien, Charles-Étienne Joseph, Boris Knyazev, Edouard Oyallon, Irina Rish, Eugene Belilovsky $\nabla$-Reasoner: LLM Reasoning via Test-Time Gradient Descent in Latent Space
Peihao Wang, Ruisi Cai, Zhen Wang, Hongyuan Mei, Qiang Liu, Pan Li, Zhangyang Wang $\pi^3$: Permutation-Equivariant Visual Geometry Learning
Yifan Wang, Jianjun Zhou, Haoyi Zhu, Wenzheng Chang, Yang Zhou, Zizun Li, Junyi Chen, Jiangmiao Pang, Chunhua Shen, Tong He $PhyWorldBench$: A Comprehensive Evaluation of Physical Realism in Text-to-Video Models
Jing Gu, Xian Liu, Yu Zeng, Ashwin Nagarajan, Fangrui Zhu, Daniel Hong, Yue Fan, Qianqi Yan, Kaiwen Zhou, Ming-Yu Liu, Xin Eric Wang 3D Aware Region Prompted Vision Language Model
An-Chieh Cheng, Yang Fu, Yukang Chen, Zhijian Liu, Xiaolong Li, Subhashree Radhakrishnan, Song Han, Yao Lu, Jan Kautz, Pavlo Molchanov, Hongxu Yin, Xiaolong Wang, Sifei Liu 3D Scene Prompting for Scene-Consistent Camera-Controllable Video Generation
JoungBin Lee, Jaewoo Jung, Jisang Han, Takuya Narihira, Kazumi Fukuda, Junyoung Seo, Sunghwan Hong, Yuki Mitsufuji, Seungryong Kim A Bayesian Nonparametric Framework for Learning Disentangled Representations
Vaishnavi S Patil, Siddhi Patil, Matthew Evanusa, Amit Kumar Kundu, Cornelia Fermuller, Joseph JaJa A Benchmark for Deep Information Synthesis
Debjit Paul, Daniel Murphy, Milan Gritta, Ronald Cardenas, Victor Prokhorov, Lena Sophia Bolliger, Aysim Toker, Roy Miles, Andreea-Maria Oncescu, Jasivan Alex Sivakumar, Philipp Borchert, Ismail Elezi, Meiru Zhang, Ka Yiu Lee, Guchun Zhang, Jun Wang, Gerasimos Lampouras A Cross-Species Neural Foundation Model for End-to-End Speech Decoding
Yizi Zhang, Linyang He, Chaofei Fan, Tingkai Liu, Han Yu, Trung Le, Jingyuan Li, Scott Linderman, Lea Duncker, Francis R Willett, Nima Mesgarani, Liam Paninski A Dense Subset Index for Collective Query Coverage
Kartik Nair, Pritish Chakraborty, Atharva Abhijit Tambat, Indradyumna Roy, Soumen Chakrabarti, Anirban Dasgupta, Abir De A Diffusion Model to Shrink Proteins While Maintaining Their Function
Ethan Baron, Alan Nawzad Amin, Ruben Weitzman, Simon d'Oelsnitz, Debora Susan Marks, Andrew Gordon Wilson A Fair Bayesian Inference Through Matched Gibbs Posterior
Jihu Lee, Kunwoong Kim, Sehyun Park, Insung Kong, Dongyoon Yang, Yongdai Kim A Faster Parameter-Free Regret Matching Algorithm
Linjian Meng, Youzhi Zhang, Shangdong Yang, Wenbin Li, Tianyu Ding, Yang Gao A Foundation Model with Multi-Variate Parallel Attention to Generate Neuronal Activity
Francesco S. Carzaniga, Michael Hersche, Abu Sebastian, Kaspar Schindler, Abbas Rahimi A General Framework for Black-Box Attacks Under Cost Asymmetry
Mahdi Salmani, Alireza Abdollahpoorrostam, Seyed-Mohsen Moosavi-Dezfooli A Graph Meta-Network for Learning on Kolmogorov–Arnold Networks
Guy Bar-Shalom, Ami Tavory, Itay Evron, Maya Bechler-Speicher, Ido Guy, Haggai Maron A Hierarchical Circuit Symbolic Discovery Framework for Efficient Logic Optimization
Yinqi Bai, Jie Wang, Tong Xialiang, Longdi Pan, Jilai Pan, Mingxuan Yuan, Jianye Hao A High Quality Dataset and Reliable Evaluation for Interleaved Image-Text Generation
Yukang Feng, Jianwen Sun, Chuanhao Li, Zizhen Li, Jiaxin Ai, Fanrui Zhang, Sizhuo Zhou, Yifan Chang, Shenglin Zhang, Yu Dai, Kaipeng Zhang A Law of Data Reconstruction for Random Features (And Beyond)
Leonardo Iurada, Simone Bombari, Tatiana Tommasi, Marco Mondelli A New Approach to Controlling Linear Dynamical Systems
Anand Paresh Brahmbhatt, Gon Buzaglo, Sofiia Druchyna, Elad Hazan A Noise Is Worth Diffusion Guidance
Donghoon Ahn, Jiwon Kang, Sanghyun Lee, Jaewon Min, Minjae Kim, Wooseok Jang, Hyoungwon Cho, Sayak Paul, SeonHwa Kim, Eunju Cha, Kyong Hwan Jin, Seungryong Kim A Physics-Inspired Optimizer: Velocity Regularized Adam
Pranav Vaidhyanathan, Lucas Schorling, Natalia Ares, Michael A Osborne A Probabilistic Hard Concept Bottleneck for Steerable Generative Models
María Martínez-García, Ricardo Vazquez Alvarez, Alejandro Lancho, Pablo M. Olmos, Isabel Valera A Reward-Free Viewpoint on Multi-Objective Reinforcement Learning
Ying-Tu Chen, Wei Hung, Bing-Shu Wu, Zhang-Wei Hong, Ping-Chun Hsieh A Rich Knowledge Space for Scalable Deepfake Detection
Inho Jung, Hyeongjun Choi, Binh M. Le, Hohyun Na, Simon S. Woo A Simple "Motivation" Can Enhance Reinforcement Finetuning of Large Reasoning Models
Junjie Zhang, Guozheng Ma, Shunyu Liu, Haoyu Wang, Jiaxing Huang, Ting-En Lin, Fei Huang, Yongbin Li, Dacheng Tao A State-Transition Framework for Efficient LLM Reasoning
Liang Zhang, Yu Zhao, Longyue Wang, Tianqi Shi, Weihua Luo, Kaifu Zhang, Jinsong Su A Step to Decouple Optimization in 3DGS
Renjie Ding, Yaonan Wang, Min Liu, Jialin Zhu, Jiazheng Wang, Jiahao Zhao, Wenting Shen, Feixiang He, Xiang Chen A Stitch in Time Saves Nine: Proactive Self-Refinement for Language Models
Jinyi Han, Xinyi Wang, Haiquan Zhao, Tingyun Li, Zishang Jiang, Sihang Jiang, Jiaqing Liang, Xin Alex Lin, Weikang Zhou, Zeye Sun, Fei Yu, Yanghua Xiao A Study on PAVE Specification for Learnware
Hao-Yu Shi, Zhi-Hao Tan, Zi-Chen Zhao, Yang Yu, Zhi-Hua Zhou A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling
Jacob Helwig, Sai Sreeharsha Adavi, Xuan Zhang, Yuchao Lin, Felix S. Chim, Luke Takeshi Vizzini, Haiyang Yu, Muhammad Hasnain, Saykat Kumar Biswas, John J. Holloway, Narendra Singh, N. K. Anand, Swagnik Guhathakurta, Shuiwang Ji A Unification of Discrete, Gaussian, and Simplicial Diffusion
Nuria Alina Chandra, Yucen Lily Li, Alan Nawzad Amin, Alex Ali, Joshua Rollins, Sebastian W. Ober, Aniruddh Raghu, Andrew Gordon Wilson A Unifying View of Coverage in Linear Off-Policy Evaluation
Philip Amortila, Audrey Huang, Akshay Krishnamurthy, Nan Jiang A$^2$FM: An Adaptive Agent Foundation Model for Tool-Aware Hybrid Reasoning
Qianben Chen, Jingyi Cao, Jiayu Zhang, Tianrui Qin, LiXiaowan, King Zhu, Dingfeng Shi, He Zhu, Minghao Liu, Xiaobo Liang, Ge Zhang, Jian Yang, Yuchen Eleanor Jiang, Wangchunshu Zhou A$^2$Search: Ambiguity-Aware Question Answering with Reinforcement Learning
Fengji Zhang, Xinyao Niu, Chengyang Ying, Guancheng Lin, Zhongkai Hao, Zhou Fan, Chengen Huang, Jacky Keung, Bei Chen, Junyang Lin A2ASecBench: A Protocol-Aware Security Benchmark for Agent-to-Agent Multi-Agent Systems
Tianhao Li, Chuangxin Chu, Yujia Zheng, Bohan Zhang, Neil Zhenqiang Gong, Chaowei Xiao A2D: Any-Order, Any-Step Safety Alignment for Diffusion Language Models
Wonje Jeung, Sangyeon Yoon, Yoonjun Cho, Dongjae Jeon, Sangwoo Shin, Hyesoo Hong, Albert No AbdCTBench: Learning Clinical Biomarker Representations from Abdominal Surface Geometry
Muhammad Ahmed Chaudhry, Suhana Bedi, Pola Lydia Lagari, Brian T Layden, William Galanter, Ayis Pyrros, Sanmi Koyejo AC-Sampler: Accelerate and Correct Diffusion Sampling with Metropolis-Hastings Algorithm
Minsang Park, Gyuwon Sim, Hyungho Na, Jiseok Kwak, Sumin Lee, Richard Lee Kim, Donghyeok Shin, Byeonghu Na, Yeongmin Kim, Il-chul Moon ACADREASON: Exploring the Limits of Reasoning Models with Academic Research Problems
Xin Gui, King Zhu, JinCheng Ren, Qianben Chen, Zekun Moore Wang, Yizhi Li, Xinpeng Liu, Ren Wenli, Linyu Miao, Tianrui Qin, Ziqi Shu, He Zhu, Dingfeng Shi, Jiaheng Liu, Yuchen Eleanor Jiang, Minghao Liu, Ge Zhang, Wangchunshu Zhou Accelerated Parallel Tempering via Neural Transports
Leo Zhang, Peter Potaptchik, Jiajun He, Yuanqi Du, Arnaud Doucet, Francisco Vargas, Hai-Dang Dau, Saifuddin Syed Accelerating Diffusion Large Language Models with SlowFast Sampling: The Three Golden Principles
Qingyan Wei, Yaojie Zhang, Zhiyuan Liu, Puyu Zeng, Yuxuan Wang, Biqing Qi, Dongrui Liu, Linfeng Zhang Accelerating Eigenvalue Dataset Generation via Chebyshev Subspace Filter
Hong Wang, Jie Wang, Jian Luo, Huanshuo Dong, Yeqiu Chen, Runmin Jiang, Zhen Huang Accelerating Inference for Multilayer Neural Networks with Quantum Computers
Arthur G. Rattew, Po-Wei Huang, Naixu Guo, Lirandë Pira, Patrick Rebentrost ACE: Attribution-Controlled Knowledge Editing for Multi-Hop Factual Recall
Jiayu Yang, Yuxuan Fan, Songning Lai, Shengen Wu, Jiaqi Tang, Chun Kang, Zhijiang Guo, Yutao Yue AceReason-Nemotron 1.1: Advancing Math and Code Reasoning Through SFT and RL Synergy
Zihan Liu, Zhuolin Yang, Yang Chen, Chankyu Lee, Mohammad Shoeybi, Bryan Catanzaro, Wei Ping Achieving Low-Bit Muon Through Subspace Preservation and Grid Quantization
Huaijin Wu, Bingrui Li, Yebin Yang, Yi Tu, Zhanpeng Zhou, Jianfei Chen, Junchi Yan Achieving Olympia-Level Geometry Large Language Model Agent via Complexity Boosting Reinforcement Learning
Haiteng Zhao, Junhao Shen, Yiming Zhang, Songyang Gao, Kuikun Liu, Tianyou Ma, Fan Zheng, Dahua Lin, Wenwei Zhang, Kai Chen Action-Free Offline-to-Online RL via Discretised State Policies
Natinael Solomon Neggatu, Jeremie Houssineau, Giovanni Montana Action-Guided Attention for Video Action Anticipation
Tsung-Ming Tai, Sofia Casarin, Andrea Pilzer, Werner Nutt, Oswald Lanz Activation Steering with a Feedback Controller
Dung Viet Nguyen, Yen Nhi Pham, Hieu M. Vu, Lei Zhang, Tan Minh Nguyen ActivationReasoning: Logical Reasoning in Latent Activation Spaces
Lukas Helff, Ruben Härle, Wolfgang Stammer, Felix Friedrich, Manuel Brack, Antonia Wüst, Hikaru Shindo, Patrick Schramowski, Kristian Kersting Active Learning for Decision Trees with Provable Guarantees
Arshia Soltani Moakhar, Tanapoom Laoaron, Faraz Ghahremani, Kiarash Banihashem, MohammadTaghi Hajiaghayi ActiveDPO: Active Direct Preference Optimization for Sample-Efficient Alignment
Xiaoqiang Lin, Arun Verma, Zhongxiang Dai, Daniela Rus, See-Kiong Ng, Bryan Kian Hsiang Low Ada-Diffuser: Latent-Aware Adaptive Diffusion for Decision-Making
Fan Feng, Selena Ge, Minghao Fu, Zijian Li, Yujia Zheng, Zeyu Tang, Yingyao Hu, Biwei Huang, Kun Zhang AdaBlock-dLLM: Semantic-Aware Diffusion LLM Inference via Adaptive Block Size
Guanxi Lu, Hao Mark Chen, Yuto Karashima, Zhican Wang, Daichi Fujiki, Hongxiang Fan AdAEM: An Adaptively and Automated Extensible Measurement of LLMs' Value Difference
Jing Yao, Shitong Duan, Xiaoyuan Yi, Dongkuan Xu, Peng Zhang, Tun Lu, Ning Gu, Zhicheng Dou, Xing Xie Adapting Self-Supervised Representations as a Latent Space for Efficient Generation
Ming Gui, Johannes Schusterbauer, Timy Phan, Felix Krause, Joshua M. Susskind, Miguel Ángel Bautista, Björn Ommer Adaptive Attacks on Trusted Monitors Subvert AI Control Protocols
Mikhail Terekhov, Alexander Panfilov, Daniil Dzenhaliou, Caglar Gulcehre, Maksym Andriushchenko, Ameya Prabhu, Jonas Geiping Adaptive Conformal Anomaly Detection with Time Series Foundation Models for Signal Monitoring.
Natalia Martinez, Fearghal O'Donncha, Wesley M. Gifford, Nianjun Zhou, Dhaval C Patel, Roman Vaculin Adaptive Conformal Prediction via Mixture-of-Experts Gating Similarity
Jingsen Kong, Wenlu Tang, Dezheng Kong, Linglong Kong, Guangren Yang, Bei Jiang Adaptive Debiasing Tsallis Entropy for Test-Time Adaptation
Xiangyu Wu, Dongming Jiang, Feng Yu, Yueying Tian, Jiaqi Tang, Qing-Guo Chen, Yang Yang, Jianfeng Lu Adaptive Hopfield Network: Rethinking Similarities in Associative Memory
Shurong Wang, Yuqi Pan, Zhuoyang Shen, Meng Zhang, Hongwei Wang, Guoqi Li Adaptive Methods Are Preferable in High Privacy Settings: An SDE Perspective
Enea Monzio Compagnoni, Alessandro Stanghellini, Rustem Islamov, Aurelien Lucchi, Anastasia Koloskova Adaptive Mixture of Disentangled Experts for Dynamic Graph Out-of-Distribution Generalization
Haibo Chen, Xin Wang, Guanheng Chen, Yuan Meng, Haoyang Li, Yang Yao, Zeyang Zhang, Zhiqiang Zhang, Jun Zhou, Ling Feng, Wenwu Zhu Adaptive Nonlinear Compression for Large Foundation Models
Liang Xu, Shufan Shen, Qingming Huang, Yao Zhu, Xiangyang Ji, Shuhui Wang Adaptive Scaling of Policy Constraints for Offline Reinforcement Learning
Tan Jing, Xiaorui Li, Chao Yao, Xiaojuan Ban, Yuetong Fang, Renjing Xu, Zhaolin Yuan Adaptive Social Learning via Mode Policy Optimization for Language Agents
Minzheng Wang, Yongbin Li, Haobo Wang, Xinghua Zhang, Nan Xu, Bingli Wu, Fei Huang, Haiyang Yu, Wenji Mao Adaptive Thinking: Large Language Models Know When to Think in Latent Space
Pingzhi Li, Bairu Hou, Yun Zhu, Yihao Feng, Ke Ye, Tao Lei, Zhifeng Chen, Tianlong Chen, Xianzhi Du Adaptive Width Neural Networks
Federico Errica, Henrik Christiansen, Viktor Zaverkin, Mathias Niepert, Francesco Alesiani AdaRank: Adaptive Rank Pruning for Enhanced Model Merging
Chanhyuk Lee, Jiho Choi, Chanryeol Lee, Donggyun Kim, Seunghoon Hong AdaReasoner: Dynamic Tool Orchestration for Iterative Visual Reasoning
Mingyang Song, Haoyu Sun, Jiawei Gu, Linjie Li, Ranjay Krishna, Yu Cheng AdaViewPlanner: Adapting Video Diffusion Models for Viewpoint Planning in 4D Scenes
Yu Li, Menghan Xia, Gongye Liu, Jianhong Bai, Xintao Wang, Conglang Zhang, Yuxuan Lin, Ruihang Chu, Pengfei Wan, Yujiu Yang ADEPT: Continual Pretraining via Adaptive Expansion and Dynamic Decoupled Tuning
Jinyang Zhang, Yue Fang, Hongxin Ding, Weibin Liao, Muyang Ye, Junfeng Zhao, Yasha Wang, Xu Chu Adjusting Prediction Model Through Wasserstein Geodesic for Causal Inference
Yuguang Yan, Haolin Yang, Zecong Chen, Weilin Chen, Ruichu Cai, Zhifeng Hao AdS-GNN - A Conformally Equivariant Graph Neural Network
Maksim Zhdanov, Nabil Iqbal, Erik J Bekkers, Patrick Forré Advancing Complex Video Object Segmentation via Progressive Concept Construction
Zhixiong Zhang, Shuangrui Ding, Xiaoyi Dong, Songxin He, Jianfan Lin, Junsong Tang, Yuhang Zang, Yuhang Cao, Dahua Lin, Jiaqi Wang Adversarial Déjà Vu: Jailbreak Dictionary Learning for Stronger Generalization to Unseen Attacks
Mahavir Dabas, Tran Huynh, Nikhil Reddy Billa, Jiachen T. Wang, Peng Gao, Charith Peris, Yao Ma, Rahul Gupta, Ming Jin, Prateek Mittal, Ruoxi Jia Adversarial Encoding Perturbation and Synthesis for Set Representation Auxiliary Learning
Yankai Chen, Xinni Zhang, Henry Peng Zou, Bowei He, Yangning Li, Philip S. Yu, Irwin King, Xue Liu Aegis: Automated Error Generation and Attribution for Multi-Agent Systems
Fanqi Kong, Ruijie Zhang, Huaxiao Yin, Guibin Zhang, Xiaofei Zhang, Ziang Chen, Zhaowei Zhang, Xiaoyuan Zhang, Song-Chun Zhu, Xue Feng AetherCode: Evaluating LLMs’ Ability to Win in Premier Programming Competitions
Zihan Wang, Jiaze Chen, Zhicheng Liu, Haojie Pan, Markus Mak, Yidi Du, Geonsik Moon, Aaron Tua, Kunshuo Peng, Jiayi Lu, Boqian Zou, Chenyang Ran, GuangTian, Shoutai Zhu, Duan Yeheng, Zhenghui Kang, Zhenxing Lin, Lishangshu, Qiang Luo, Qingshen Long, Zhiyong Chen, Yihan Xiao, Yurong Wu, Daoguang Zan, Mingxuan Wang, Ming Ding Agent Data Protocol: Unifying Datasets for Diverse, Effective Fine-Tuning of LLM Agents
Yueqi Song, Ketan Ramaneti, Zaid Sheikh, Ziru Chen, Boyu Gou, Tianbao Xie, Yiheng Xu, Danyang Zhang, Apurva Gandhi, Fan Yang, Joseph Liu, Tianyue Ou, Zhihao Yuan, Frank F. Xu, Shuyan Zhou, Xingyao Wang, Xiang Yue, Tao Yu, Huan Sun, Yu Su, Graham Neubig Agent-X: Evaluating Deep Multimodal Reasoning in Vision-Centric Agentic Tasks
Tajamul Ashraf, Amal Saqib, Hanan Gani, Muhra AlMahri, Yuhao Li, Noor Ahsan, Umair Nawaz, Jean Lahoud, Hisham Cholakkal, Mubarak Shah, Philip Torr, Fahad Shahbaz Khan, Rao Muhammad Anwer, Salman Khan AgentFold: Long-Horizon Web Agents with Proactive Context Folding
Rui Ye, Zhongwang Zhang, Kuan Li, Huifeng Yin, Zhengwei Tao, Yida Zhao, Liangcai Su, Liwen Zhang, Zile Qiao, Xinyu Wang, Pengjun Xie, Fei Huang, Jingren Zhou, Siheng Chen, Yong Jiang AgentGym-RL: An Open-Source Framework to Train LLM Agents for Long-Horizon Decision Making via Multi-Turn RL
Zhiheng Xi, Jixuan Huang, Chenyang Liao, Baodai Huang, Jiaqi Liu, Honglin Guo, Yajie Yang, Rui Zheng, Junjie Ye, Jiazheng Zhang, Wenxiang Chen, Wei He, Yiwen Ding, Guanyu Li, Zehui Chen, Zhengyin Du, Xuesong Yao, Yufei Xu, Jiecao Chen, Tao Gui, Zuxuan Wu, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang Agentic Context Engineering: Evolving Contexts for Self-Improving Language Models
Qizheng Zhang, Changran Hu, Shubhangi Upasani, Boyuan Ma, Fenglu Hong, Vamsidhar Kamanuru, Jay Rainton, Chen Wu, Mengmeng Ji, Hanchen Li, Urmish Thakker, James Zou, Kunle Olukotun Agentic Jigsaw Interaction Learning for Enhancing Visual Perception and Reasoning in Vision-Language Models
Yu Zeng, Wenxuan Huang, Shiting Huang, Xikun Bao, Yukun Qi, Yiming Zhao, Qiuchen Wang, Lin Chen, Zehui Chen, Huaian Chen, Wanli Ouyang, Feng Zhao Agentic Reinforced Policy Optimization
Guanting Dong, Hangyu Mao, Kai Ma, Licheng Bao, Yifei Chen, Zhongyuan Wang, Zhongxia Chen, Jiazhen Du, Huiyang Wang, Fuzheng Zhang, Guorui Zhou, Yutao Zhu, Ji-Rong Wen, Zhicheng Dou Agentic Reinforcement Learning with Implicit Step Rewards
Xiaoqian Liu, Ke Wang, Yuchuan Wu, Fei Huang, Yongbin Li, Jianbin Jiao, Junge Zhang AgentMath: Empowering Mathematical Reasoning for Large Language Models via Tool-Augmented Agent
Haipeng Luo, Huawen Feng, Qingfeng Sun, Can Xu, Kai Zheng, Yufei Wang, Tao Yang, Han Hu, Yansong Tang AgenTracer: Who Is Inducing Failure in the LLM Agentic Systems?
Guibin Zhang, Junhao Wang, Junjie Chen, Wangchunshu Zhou, Kun Wang, Shuicheng Yan AirQA: A Comprehensive QA Dataset for AI Research with Instance-Level Evaluation
Tiancheng Huang, Ruisheng Cao, Yuxin Zhang, Zhangyi Kang, Zijian Wang, Chenrun Wang, Yijie Luo, Hang Zheng, Lirong Qian, Lu Chen, Kai Yu Align-SAM: Seeking Flatter Minima for Better Cross-Subset Alignment
Van-Anh Nguyen, Mehrtash Harandi, Thanh-Toan Do, Linh Ngo Van, Dinh Phung, Trung Le Align-Then-stEer: Adapting the Vision-Language Action Models Through Unified Latent Guidance
Yang Zhang, Chenwei Wang, Ouyang Lu, Yuan Zhao, Yunfei Ge, Zhenglong Sun, Xiu Li, Chi Zhang, Chenjia Bai, Xuelong Li Aligned Novel View Image and Geometry Synthesis via Cross-Modal Attention Instillation
Min-Seop Kwak, Junho Kim, Sangdoo Yun, Dongyoon Han, Taekyung Kim, Seungryong Kim, Jin-Hwa Kim AlignFlow: Improving Flow-Based Generative Models with Semi-Discrete Optimal Transport
Lingkai Kong, Molei Tao, Yang Liu, Bryan Wang, Jinmiao Fu, Chien-Chih Wang, Huidong Liu Aligning Visual Foundation Encoders to Tokenizers for Diffusion Models
Bowei Chen, Sai Bi, Hao Tan, He Zhang, Tianyuan Zhang, Zhengqi Li, Yuanjun Xiong, Jianming Zhang, Kai Zhang Alignment-Weighted DPO: A Principled Reasoning Approach to Improve Safety Alignment
Mengxuan Hu, Vivek Datla, Anoop Kumar, Zihan Guan, Sheng Li, Alfy Samuel, Daben Liu AlignSep: Temporally-Aligned Video-Queried Sound Separation with Flow Matching
Xize Cheng, Chenyuhao Wen, Slytherin Wang, Yongqi Wang, Zehan Wang, Rongjie Huang, Tao Jin, Zhou Zhao All Patches Matter, More Patches Better: Enhance AI-Generated Image Detection via Panoptic Patch Learning
Zheng Yang, Ruoxin Chen, Zhiyuan Yan, Ke-Yue Zhang, Xinghe Fu, Shuang Wu, Xiujun Shu, Taiping Yao, Shouhong Ding, Zequn Qin, Xi Li AlphaAgentEvo: Evolution-Oriented Alpha Mining via Self-Evolving Agentic Reinforcement Learning
Ziyi Tang, Xuexiong Yin, Weixing Chen, Zechuan Chen, Yongsen Zheng, Wenxuan Ye, Keze Wang, Liang Lin AlphaFlow: Understanding and Improving MeanFlow Models
Huijie Zhang, Aliaksandr Siarohin, Willi Menapace, Michael Vasilkovsky, Sergey Tulyakov, Qing Qu, Ivan Skorokhodov AlphaSAGE: Structure-Aware Alpha Mining via GFlowNets for Robust Exploration
Binqi Chen, Hongjun Ding, Ning Shen, Taian Guo, Jinsheng Huang, Luchen Liu, Ming Zhang AlphaSteer: Learning Refusal Steering with Principled Null-Space Constraint
Leheng Sheng, Changshuo Shen, Weixiang Zhao, Junfeng Fang, Xiaohao Liu, Zhenkai Liang, Xiang Wang, An Zhang, Tat-Seng Chua AMemGym: Interactive Memory Benchmarking for Assistants in Long-Horizon Conversations
Cheng Jiayang, Dongyu Ru, Lin Qiu, Yiyang Li, Xuezhi Cao, Yangqiu Song, Xunliang Cai AMLRIS: Alignment-Aware Masked Learning for Referring Image Segmentation
Tongfei Chen, Shuo Yang, Yuguang Yang, Linlin Yang, Runtang Guo, Changbai Li, He Long, Chunyu Xie, Dawei Leng, Baochang Zhang An Information Theoretic Perspective on Agentic System Design
Shizhe He, Avanika Narayan, Ishan S. Khare, Scott Linderman, Christopher Re, Dan Biderman An Open-Ended Benchmark and Formal Framework for Adjuvant Research with MLLM
Yi Chen, Yu Zhang, Jian Xu, Hua Yue, Xinming Wang, Zequan Lyu, Xu-Yao Zhang, Wei Wei, Cheng-Lin Liu An Orthogonal Learner for Individualized Outcomes in Markov Decision Processes
Emil Javurek, Valentyn Melnychuk, Jonas Schweisthal, Konstantin Hess, Dennis Frauen, Stefan Feuerriegel Anatomy-Aware Representation Learning for Medical Ultrasound
Seok-Hwan Oh, Myeong-Gee Kim, Guil Jung, Hyeonjik Lee, Young-Min Kim, Sang-yun Kim, Hyuksool Kwon, Hyeonmin Bae Anchor Frame Bridging for Coherent First-Last Frame Video Generation
Xuehan Hou, Meng Fan, Pengchong Qiao, Zesen Cheng, Yian Zhao, Lei Zhu, Kaiwen Cheng, Chang Liu, Jie Chen Anchored Supervised Fine-Tuning
He Zhu, Junyou Su, Peng Lai, Ren Ma, Wenjia Zhang, Linyi Yang, Guanhua Chen AnesSuite: A Comprehensive Benchmark and Dataset Suite for Anesthesiology Reasoning in LLMs
Xiang Feng, Wentao Jiang, Zengmao Wang, Yong Luo, Pingbo Xu, Baosheng Yu, Hua Jin, Jing Zhang Angle K-Means
Shenfei Pei, Ruiyu Huang, Yiqing Hu, Zhongqi Lin, Xudong Jiang, Zengwei Zheng Animal Behavioral Analysis and Neural Encoding with Transformer-Based Self-Supervised Pretraining
Yanchen Wang, Han Yu, Ari Blau, Yizi Zhang, International Brain Laboratory, Liam Paninski, Cole Lincoln Hurwitz, Matthew R Whiteway Annotation-Efficient Honesty Alignment via Confidence Elicitation and Calibration
Shiyu Ni, Keping Bi, Jiafeng Guo, Minghao Tang, Jingtong Wu, Zengxin Han, Xueqi Cheng Antithetic Noise in Diffusion Models
Jing Jia, Sifan Liu, Bowen Song, Wei Yuan, Liyue Shen, Guanyang Wang Any-Order Flexible Length Masked Diffusion
Jaeyeon Kim, Lee Cheuk Kit, Carles Domingo-Enrich, Yilun Du, Sham M. Kakade, Timothy Ngotiaoco, Sitan Chen, Michael Samuel Albergo Any-Subgroup Equivariant Networks via Symmetry Breaking
Abhinav Goel, Derek Lim, Hannah Lawrence, Stefanie Jegelka, Ningyuan Huang Any-to-Bokeh: Arbitrary-Subject Video Refocusing with Video Diffusion Model
Yang Yang, Siming Zheng, Qirui Yang, Jinwei Chen, Boxi Wu, Xiaofei He, Deng Cai, Bo Li, Peng-Tao Jiang AnyTouch 2: General Optical Tactile Representation Learning for Dynamic Tactile Perception
Ruoxuan Feng, Yuxuan Zhou, Siyu Mei, Dongzhan Zhou, Pengwei Wang, Shaowei Cui, Bin Fang, Guocai Yao, Di Hu AnyUp: Universal Feature Upsampling
Thomas Wimmer, Prune Truong, Marie-Julie Rakotosaona, Michael Oechsle, Federico Tombari, Bernt Schiele, Jan Eric Lenssen AP-OOD: Attention Pooling for Out-of-Distribution Detection
Claus Hofmann, Christian Huber, Bernhard Lehner, Daniel Klotz, Sepp Hochreiter, Werner Zellinger APPLE: Toward General Active Perception via Reinforcement Learning
Tim Schneider, Cristiana de Farias, Roberto Calandra, Liming Chen, Jan Peters APT: Towards Universal Scene Graph Generation via Plug-in Adaptive Prompt Tuning
Ruikun Luo, Changwei Gu, Jing Yang, Yuan Gao, Jieming Yang, Song Wu, Hai Jin, Xiaoyu Xia Arbitrary Generative Video Interpolation
Guozhen Zhang, Haiguang Wang, Chunyu Wang, Yuan Zhou, Qinglin Lu, Limin Wang Are Deep Speech Denoising Models Robust to Adversarial Noise?
Will Schwarzer, Andrea Fanelli, Philip S. Thomas, Xiaoyu Liu ARES: Multimodal Adaptive Reasoning via Difficulty-Aware Token-Level Entropy Shaping
Shuang Chen, Hangyu Guo, Yimeng Ye, Shijue Huang, Wenbo Hu, Jiayu Chen, Manyuan Zhang, Haoxi Li, Song Guo, Nanyun Peng ARFlow: Auto-Regressive Optical Flow Estimation for Arbitrary-Length Videos via Progressive Next-Frame Forecasting
Jiuming Liu, Mengmeng Liu, Siting Zhu, Yunpeng Zhang, Jiangtao Li, Michael Ying Yang, Francesco Nex, Hao Cheng, Hesheng Wang ARMOR: Aligning Secure and Safe Large Language Models via Meticulous Reasoning
Zhengyue Zhao, YingziYingzi Ma, Somesh Jha, Marco Pavone, Patrick McDaniel, Chaowei Xiao ARTDECO: Toward High-Fidelity On-the-Fly Reconstruction with Hierarchical Gaussian Structure and Feed-Forward Guidance
Guanghao Li, Kerui Ren, Linning Xu, Zhewen Zheng, Changjian Jiang, Xin Gao, Bo Dai, Jian Pu, Mulin Yu, Jiangmiao Pang ArtUV: Artist-Style UV Unwrapping
Yuguang Chen, Xinhai Liu, Yang Li, Victor Cheung, Zhuo Chen, Dongyu Zhang, Chunchao Guo ArtVIP: Articulated Digital Assets of Visual Realism, Modular Interaction, and Physical Fidelity for Robot Learning
Zhao Jin, Zhengping Che, Tao Li, Zhen Zhao, Kun Wu, Yuheng Zhang, Yinuo Zhao, Zehui Liu, Qiang Zhang, Xiaozhu Ju, Jing Tian, Yousong Xue, Jian Tang ASCIIEval: Benchmarking Models' Visual Perception in Text Strings via ASCII Art
Qi Jia, Xiang Yue, Shanshan Huang, Ziheng Qin, Yizhu Liu, Bill Yuchen Lin, Yang You, Guangtao Zhai ASIDE: Architectural Separation of Instructions and Data in Language Models
Egor Zverev, Evgenii Kortukov, Alexander Panfilov, Alexandra Volkova, Rush Tabesh, Sebastian Lapuschkin, Wojciech Samek, Christoph H. Lampert ASMIL: Attention-Stabilized Multiple Instance Learning for Whole-Slide Imaging
Linfeng Ye, Shayan Mohajer Hamidi, Zhixiang Chi, Guang Li, Mert Pilanci, Takahiro Ogawa, Miki Haseyama, Konstantinos N. Plataniotis Assembling the Mind's Mosaic: Towards EEG Semantic Intent Decoding
Jiahe Li, Junru Chen, Fanqi Shen, Jialan Yang, Jada Li, Zhizhang Yuan, Baowen Cheng, Meng Li, Yang Yang ASSESS: A Semantic and Structural Evaluation Framework for Statement Similarity
Xiaoyang Liu, Tao Zhu, Zineng Dong, Yuntian Liu, Guo Qingfeng, Liu ZhaoXuan, Yu Chen, Tao Luo AssetFormer: Modular 3D Assets Generation with Autoregressive Transformer
Lingting Zhu, Shengju Qian, Haidi Fan, Jiayu Dong, Zhenchao Jin, SiweiZhou, Dong Gen, Xin Wang, Lequan Yu AssoMem: Scalable Memory QA with Multi-Signal Associative Retrieval
Kai Zhang, Xinyuan Zhang, Ejaz Ahmed, Hongda Jiang, Caleb Kumar, Kai Sun, Zhaojiang Lin, Sanat Sharma, Shereen Oraby, Aaron Colak, Ahmed A Aly, Anuj Kumar, Xiaozhong Liu, Xin Luna Dong AstaBench: Rigorous Benchmarking of AI Agents with a Scientific Research Suite
Jonathan Bragg, Mike D'Arcy, Nishant Balepur, Dan Bareket, Bhavana Dalvi Mishra, Sergey Feldman, Dany Haddad, Jena D. Hwang, Peter Jansen, Varsha Kishore, Bodhisattwa Prasad Majumder, Aakanksha Naik, Sigal Rahamimov, Kyle Richardson, Amanpreet Singh, Harshit Surana, Aryeh Tiktinsky, Rosni Vasu, Guy Wiener, Chloe Anastasiades, Stefanus Candra, Jason Dunkelberger, Daniel Emery, Rob Evans, Malachi Hamada, Regan Huff, Rodney Kinney, Matt Latzke, Jaron Lochner, Ruben Lozano-Aguilera, Ngoc-Uyen Nguyen, Smita Rao, Amber Tanaka, Brooke Vlahos, Peter Clark, Doug Downey, Yoav Goldberg, Ashish Sabharwal, Daniel S Weld Astra: General Interactive World Model with Autoregressive Denoising
Yixuan Zhu, Feng Jiaqi, Wenzhao Zheng, Yuan Gao, Xin Tao, Pengfei Wan, Jiwen Lu, Jie Zhou Astraea: A Token-Wise Acceleration Framework for Video Diffusion Transformers
Haosong Liu, Yuge Cheng, Wenxuan Miao, Zihan Liu, Aiyue Chen, Jing Lin, Yiwu Yao, Chen Chen, Jingwen Leng, Minyi Guo, Yu Feng Asymmetric Proximal Policy Optimization: Mini-Critics Boost LLM Reasoning
Jiashun Liu, Johan Obando-Ceron, Han Lu, Yancheng He, Weixun Wang, Wenbo Su, Bo Zheng, Pablo Samuel Castro, Aaron Courville, Ling Pan Asynchronous Matching with Dynamic Sampling for Multimodal Dataset Distillation
Ding Qi, Jian Li, Shuguang Dou, Zifan Song, Junyao Gao, Yabiao Wang, Chengjie Wang, Cairong Zhao ATGen: Adversarial Reinforcement Learning for Test Case Generation
Qingyao Li, Xinyi Dai, Weiwen Liu, Xiangyang Li, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang ATLAS: Adaptive Transfer Scaling Laws for Multilingual Pretraining, Finetuning, and Decoding the Curse of Multilinguality
Shayne Longpre, Sneha Kudugunta, Niklas Muennighoff, I-Hung Hsu, Isaac Rayburn Caswell, Alex Pentland, Sercan O Arik, Chen-Yu Lee, Sayna Ebrahimi AtlasKV: Augmenting LLMs with Billion-Scale Knowledge Graphs in 20GB VRAM
Haoyu Huang, Hong Ting Tsang, Jiaxin Bai, Xi Peng, Gong Zhang, Yangqiu Song ATOM: A Pretrained Neural Operator for Multitask Molecular Dynamics
Luke Thompson, Davy Guan, Slade Matthews, Dai Shi, Junbin Gao, Andi Han Attention as a Compass: Efficient Exploration for Process-Supervised RL in Reasoning Models
Runze Liu, Jiakang Wang, Yuling Shi, Zhihui Xie, Chenxin An, Kaiyan Zhang, Jian Zhao, Xiaodong Gu, Lei Lin, Wenping Hu, Xiu Li, Fuzheng Zhang, Guorui Zhou, Kun Gai Attention Sinks and Compression Valleys in LLMs Are Two Sides of the Same Coin
Enrique Queipo-de-Llano, Alvaro Arroyo, Federico Barbero, Xiaowen Dong, Michael M. Bronstein, Yann LeCun, Ravid Shwartz-Ziv Attention Smoothing Is All You Need for Unlearning
Saleh Zare Zade, Xiangyu Zhou, Sijia Liu, Dongxiao Zhu Attention, Please! Revisiting Attentive Probing Through the Lens of Efficiency
Bill Psomas, Dionysis Christopoulos, Eirini Baltzi, Ioannis Kakogeorgiou, Tilemachos Aravanis, Nikos Komodakis, Konstantinos Karantzalos, Yannis Avrithis, Giorgos Tolias Attribution-Guided Decoding
Piotr Komorowski, Elena Golimblevskaia, Reduan Achtibat, Thomas Wiegand, Sebastian Lapuschkin, Wojciech Samek ATTS: Asynchronous Test-Time Scaling via Conformal Prediction
Jing Xiong, Qiujiang Chen, Fanghua Ye, Zhongwei Wan, Chuanyang Zheng, Chenyang Zhao, Hui Shen, Alexander Hanbo Li, Chaofan Tao, Haochen Tan, Haoli Bai, Lifeng Shang, Lingpeng Kong, Ngai Wong AudioTrust: Benchmarking the Multifaceted Trustworthiness of Audio Large Language Models
Kai Li, Can Shen, Yile Liu, Jirui Han, Kelong Zheng, Xuechao Zou, Lionel Z. Wang, Shun Zhang, Xingjian Du, Hanjun Luo, Yingbin Jin, Xinxin Xing, Ziyang Ma, Yue Liu, YiFan Zhang, Junfeng Fang, Kun Wang, Yibo Yan, Gelei Deng, Haoyang Li, Yiming Li, Xiaobin Zhuang, Tianlong Chen, Qingsong Wen, Tianwei Zhang, Yang Liu, Haibo Hu, Zhizheng Wu, Xiaolin Hu, Eng Siong Chng, Wenyuan Xu, XiaoFeng Wang, Wei Dong, Xinfeng Li AudioX: A Unified Framework for Anything-to-Audio Generation
Zeyue Tian, Zhaoyang Liu, Yizhu Jin, Ruibin Yuan, Liumeng Xue, Xu Tan, Qifeng Chen, Wei Xue, Yike Guo Auditing Black-Box LLM APIs with a Rank-Based Uniformity Test
Xiaoyuan Zhu, Yaowen Ye, Tianyi Alex Qiu, Hanlin Zhu, Sijun Tan, Ajraf Mannan, Jonathan Michala, Raluca Ada Popa, Willie Neiswanger AUHead: Realistic Emotional Talking Head Generation via Action Units Control
Jiayi Lyu, Leigang Qu, Wenjing Zhang, Hanyu Jiang, Kai Liu, Zhenglin Zhou, Xiaobo Xia, Jian Xue, Tat-Seng Chua Aurelius: Relation Aware Text-to-Audio Generation at Scale
Yuhang He, He Liang, Yash Jain, Andrew Markham, Vibhav Vineet Aurora: Towards Universal Generative Multimodal Time Series Forecasting
Xingjian Wu, Jianxin Jin, Wanghui Qiu, Peng Chen, Yang Shu, Bin Yang, Chenjuan Guo Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language Models
Yanjiang Liu, Shuheng Zhou, Yaojie Lu, Huijia Zhu, Weiqiang Wang, Hongyu Lin, Ben He, Xianpei Han, Le Sun AutoBio: A Simulation and Benchmark for Robotic Automation in Digital Biology Laboratory
Zhiqian Lan, Yuxuan Jiang, Ruiqi Wang, Xuanbing Xie, Rongkui Zhang, Yicheng Zhu, Li Peihang, Tianshuo Yang, Tianxing Chen, Haoyu Gao, Xiaokang Yang, Xuelong Li, Hongyuan Zhang, Yao Mu, Ping Luo AutoCode: LLMs as Problem Setters for Competitive Programming
Shang Zhou, Zihan Zheng, Kaiyuan Liu, Zeyu Shen, Zerui Cheng, Zexing Chen, Hansen He, Jianzhu Yao, Huanzhi Mao, Qiuyang Mang, Tianfu Fu, Beichen Li, Dongruixuan Li, Wenhao Chai, Zhuang Liu, Aleksandra Korolova, Peter Henderson, Natasha Jaques, Pramod Viswanath, Saining Xie, Jingbo Shang AutoCodeBench: Large Language Models Are Automatic Code Benchmark Generators
Changzhi Zhou, Ao Liu, Yuchi Deng, Zhiying Zeng, Tao Zhang, Haotian Zhu, Jianwei Cai, Yue Mao, Chenchen Zhang, Lingyun Tan, ZiyanXU, Bohui Zhai, HengyiLIu, Speed Zhu, Wiggin Zhou, Fengzong Lian AutoDA-Timeseries: Automated Data Augmentation for Time Series
Zijun Dou, Zhenhe Yao, Zhe Xie, Xidao Wen, Tong Xiao, Dan Pei AutoDrive-R²: Incentivizing Reasoning and Self-Reflection Capacity for VLA Model in Autonomous Driving
Zhenlong Yuan, Chengxuan Qian, Jing Tang, Rui Chen, Zijian Song, Lei Sun, Xiangxiang Chu, Yujun Cai, Dapeng Zhang, Shuo Li Autoencoding-Free Context Compression for LLMs via Contextual Semantic Anchors
Xin Liu, Runsong Zhao, Pengcheng Huang, Xinyu Liu, Junyi Xiao, Chunyang Xiao, Tong Xiao, Shengxiang Gao, Zhengtao Yu, JingBo Zhu AutoEP: LLMs-Driven Automation of Hyperparameter Evolution for Metaheuristic Algorithms
Zhenxing Xu, Yizhe Zhang, Weidong Bao, Hao Wang, Ming Chen, Haoran Ye, Wenzheng Jiang, Hui Yan, Ji Wang AutoFigure: Generating and Refining Publication-Ready Scientific Illustrations
Minjun Zhu, Zhen Lin, Yixuan Weng, Panzhong Lu, Qiujie Xie, Yifan Wei, Sifan Liu, QiYao Sun, Yue Zhang AutoFly: Vision-Language-Action Model for UAV Autonomous Navigation in the Wild
Xiaolou Sun, Wufei Si, Wenhui Ni, Yuntian Li, Dongming Wu, Fei Xie, Runwei Guan, He-Yang Xu, Henghui Ding, Yuan Wu, Yutao Yue, Yongming Huang, Hui Xiong AutoLibra: Agent Metric Induction from Open-Ended Human Feedback
Hao Zhu, Phil Cuvin, Xinkai Yu, Charlotte Ka Yee Yan, Jason Zhang, Diyi Yang Automated Formalization via Conceptual Retrieval-Augmented LLMs
Wangyue Lu, Lun Du, Sirui Li, Ke Weng, Haozhe Sun, Hengyu Liu, Minghe Yu, Tiancheng Zhang, Ge Yu Automated Stateful Specialization for Adaptive Agent Systems
Myan Vu, Harrish Ayyanar, Pang Jiang, Anwiketh Reddy, Mayank Goel Autonomous Functional Play with Correspondence-Driven Trajectory Warping
William Liang, Sam Wang, Hung-Ju Wang, Osbert Bastani, Yecheng Jason Ma, Dinesh Jayaraman Autoregressive Models Rival Diffusion Models at ANY-ORDER Generation
Tianqi Du, Lizhe Fang, Weijie Yang, Chenheng Zhang, Zeming Wei, Yifei Wang, Yisen Wang AutoSP: Unlocking Long-Context LLM Training via Compiler-Based Sequence Parallelism
Ahan Gupta, Zhihao Wang, Neel Dani, Masahiro Tanaka, Olatunji Ruwase, Minjia Zhang AutoTool: Automatic Scaling of Tool-Use Capabilities in RL via Decoupled Entropy Constraints
Yirong Zeng, Xiao Ding, Yufei Liu, Yuxian Wang, Qunyao Du, Yutai Hou, Wu Ning, Haonan Song, Duyu Tang, Dandan Tu, Bing Qin, Ting Liu AVEX: What Matters for Animal Vocalization Encoding
Marius Miron, David Robinson, Milad Alizadeh, Ellen Gilsenan-McMahon, Gagan Narula, Emmanuel Chemla, Maddie Cusimano, Felix Effenberger, Masato Hagiwara, Benjamin Hoffman, Sara Keen, Diane Kim, Jane K. Lawton, Jen-Yu Liu, Aza Raskin, Olivier Pietquin, Matthieu Geist Avey-B
Devang Acharya, Mohammad Hammoud AVoCaDO: An Audiovisual Video Captioner Driven by Temporal Orchestration
Xinlong Chen, Yue Ding, Weihong Lin, Jingyun Hua, Linli Yao, Yang Shi, Bozhou Li, Qiang Liu, Yuanxing Zhang, Pengfei Wan, Liang Wang BAH Dataset for Ambivalence/Hesitancy Recognition in Videos for Digital Behavioural Change
Manuela González-González, Soufiane Belharbi, Muhammad Osama Zeeshan, Masoumeh Sharafi, Muhammad Haseeb Aslam, Marco Pedersoli, Alessandro Lameiras Koerich, Simon L Bacon, Eric Granger Balancing the Experts: Unlocking LoRA-MoE for GRPO via Mechanism-Aware Rewards
Changlian Ma, Zizheng Huang, Xiangyu Zeng, Yi Wang, Cheng Liang, Kun Tian, Xinhai Zhao, Limin Wang BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping
Zhiheng Xi, Xin Guo, Yang Nan, Enyu Zhou, Junrui Shen, Wenxiang Chen, Jiaqi Liu, Jixuan Huang, Xun Deng, Zhihao Zhang, Honglin Guo, Zhikai Lei, Miao Zheng, Guoteng Wang, Peng Sun, Rui Zheng, Hang Yan, Tao Gui, Qi Zhang, Xuanjing Huang BARREL: Boundary-Aware Reasoning for Factual and Reliable LRMs
Junxiao Yang, Jinzhe Tu, Haoran Liu, Xiaoce Wang, Chujie Zheng, Zhexin Zhang, Shiyao Cui, Caishun Chen, Tiantian He, Hongning Wang, Yew-Soon Ong, Minlie Huang Barriers for Learning in an Evolving World: Mathematical Understanding of Loss of Plasticity
Amir Joudaki, Giulia Lanzillotta, Mohammad Samragh, Seyed Iman Mirzadeh, Keivan Alizadeh, Thomas Hofmann, Mehrdad Farajtabar, Fartash Faghri BaseReward: A Strong Baseline for Multimodal Reward Model
YiFan Zhang, Haihua Yang, Huanyu Zhang, Yang Shi, Zezhou Chen, Haochen Tian, Chaoyou Fu, Kai Wu, Bo Cui, Xu Wang, Jianfei Pan, Haotian Wang, Zhang Zhang, Liang Wang Batch Pruning by Activation Stability
Md Mustakin Alam, Shaker Islam, Aminul Islam Battery Fault: A Comprehensive Dataset and Benchmark for Battery Fault Diagnosis
Qingdi Liu, Yan Fu, Lishuo Liu, Yanke Lin, Jin Xin, Jianfeng Zhang, Cheng Hao Liu, Lujia Pan, Dongxu Guo, Yuejiu Zheng, Qiang Li Bayesian Ensemble for Sequential Decision-Making
Rui Liu, Enmin Zhao, Lu Wang, Yu Li, Ming Pang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao Bayesian Influence Functions for Hessian-Free Data Attribution
Philipp Alexander Kreer, Wilson Wu, Maxwell Adam, Zach Furman, Jesse Hoogland Bayesian Neural Networks for Functional ANOVA Model
Seokhun Park, Choeun Kim, Jihu Lee, Yunseop Shin, Insung Kong, Yongdai Kim Bayesian Parameter Shift Rules in Variational Quantum Eigensolvers
Samuele Pedrielli, Christopher J. Anders, Lena Funcke, Karl Jansen, Kim Andrea Nicoli, Shinichi Nakajima Bayesian Post Training Enhancement of Regression Models with Calibrated Rankings
Kevin Tirta Wijaya, Bing Xu Hu, Hans-peter Seidel, Wojciech Matusik, Vahid Babaei BEAT: Visual Backdoor Attacks on VLM-Based Embodied Agents via Contrastive Trigger Learning
Qiusi Zhan, Hyeonjeong Ha, Rui Yang, Sirui Xu, Hanyang Chen, Liangyan Gui, Yu-Xiong Wang, Huan Zhang, Heng Ji, Daniel Kang BED-LLM: Intelligent Information Gathering with LLMs and Bayesian Experimental Design
Deepro Choudhury, Sinead Williamson, Adam Golinski, Ning Miao, Freddie Bickford Smith, Michael Kirchhof, Yizhe Zhang, Tom Rainforth Bee: A High-Quality Corpus and Full-Stack Suite to Unlock Advanced Fully Open MLLMs
Yi Zhang, Bolin Ni, Xin-Sheng Chen, Hengrui Zhang, Yongming Rao, Houwen Peng, Qinglin Lu, Han Hu, Meng-Hao Guo, Shi-min Hu Behavior Learning (BL)
Zhenyao Ma, Yue Liang, Dongxu Li Belief-Based Offline Reinforcement Learning for Delay-Robust Policy Optimization
Simon Sinong Zhan, Qingyuan Wu, Philip Wang, Frank Yang, Xiangyu Shi, Chao Huang, Qi Zhu Benchmarking Empirical Privacy Protection for Adaptations of Large Language Models
Bartłomiej Marek, Lorenzo Rossi, Vincent Hanke, Xun Wang, Michael Backes, Franziska Boenisch, Adam Dziedzic Benchmarking LLM Tool-Use in the Wild
Peijie Yu, Wei Liu, Yifan Yang, Jinjian Li, Zelong Zhang, Xiao Feng, Feng Zhang Benchmarking Open-Ended Segmentation
Cristina González, Santiago Rodriguez, Kevis-kokitsi Maninis, Jordi Pont-Tuset, Pablo Arbelaez Benchmarking Overton Pluralism in LLMs
Elinor Poole-Dayan, Jiayi Wu, Taylor Sorensen, Jiaxin Pei, Michiel A. Bakker Benefits and Limitations of Communication in Multi-Agent Reasoning
Michael Rizvi-Martel, Satwik Bhattamishra, Neil Rathi, Guillaume Rabusseau, Michael Hahn BEP: A Binary Error Propagation Algorithm for Binary Neural Networks Training
Luca Colombo, Fabrizio Pittorino, Daniele Zambon, Carlo Baldassi, Manuel Roveri, Cesare Alippi Best-of-N Through the Smoothing Lens: KL Divergence and Regret Analysis
Gholamali Aminian, Idan Shenfeld, Amir R. Asadi, Ahmad Beirami, Youssef Mroueh Better Learning-Augmented Spanning Tree Algorithms via Metric Forest Completion
Nate Veldt, Thomas Stanley, Benjamin W Priest, Trevor Steil, Keita Iwabuchi, T.S. Jayram, Grace J Li, Geoffrey Sanders Beyond a Million Tokens: Benchmarking and Enhancing Long-Term Memory in LLMs
Mohammad Tavakoli, Alireza Salemi, Carrie Ye, Mohamed Abdalla, Hamed Zamani, J Ross Mitchell Beyond Accuracy: Are Time Series Foundation Models Well-Calibrated?
Coen Adler, Yuxin Chang, Samar Abdi, Felix Draxler, Padhraic Smyth Beyond Binary Rewards: Training LMs to Reason About Their Uncertainty
Mehul Damani, Isha Puri, Stewart Slocum, Idan Shenfeld, Leshem Choshen, Yoon Kim, Jacob Andreas Beyond DAGs: A Latent Partial Causal Model for Multimodal Learning
Yuhang Liu, Zhen Zhang, Dong Gong, Erdun Gao, Biwei Huang, Mingming Gong, Anton van den Hengel, Kun Zhang, Javen Qinfeng Shi Beyond Hearing: Learning Task-Agnostic ExG Representations from Earphones via Physiology-Informed Tokenization
Hyungjun Yoon, Seungjoo Lee, Yu Wu, XiaoMeng Chen, Taiting Lu, Freddy Yifei Liu, Taeckyung Lee, Hyeongheon Cha, Haochen Zhao, Gaoteng Zhao, Dongyao Chen, Cecilia Mascolo, Sung-Ju Lee, Lili Qiu Beyond Linear Probes: Dynamic Safety Monitoring for Language Models
James Oldfield, Philip Torr, Ioannis Patras, Adel Bibi, Fazl Barez Beyond Magic Words: Sharpness-Aware Prompt Evolving for Robust Large Language Models with TARE
Guancheng Wan, Lucheng Fu, Haoxin Liu, Yiqiao Jin, Hui Yi Leong, Eric Hanchen Jiang, Hejia Geng, Jinhe Bi, Yunpu Ma, Xiangru Tang, B. Aditya Prakash, Yizhou Sun, Wei Wang Beyond Magnitude: Leveraging Direction of RLVR Updates for LLM Reasoning
Kexin Huang, Haoming Meng, Junkang Wu, Jinda Lu, Chiyu Ma, Ziqian Chen, Xue Wang, Bolin Ding, Jiancan Wu, Xiang Wang, Xiangnan He, Guoyin Wang, Jingren Zhou Beyond Markovian: Reflective Exploration via Bayes-Adaptive RL for LLM Reasoning
Shenao Zhang, Yaqing Wang, Yinxiao Liu, Tianqi Liu, Peter Grabowski, Eugene Ie, Zhaoran Wang, Yunxuan Li Beyond Masks: Efficient, Flexible Diffusion Language Models via Deletion-Insertion Processes
Fangyu Ding, Ding Ding, Sijin Chen, Kaibo Wang, Peng Xu, Zijin Feng, Haoli Bai, Kai Han, Youliang Yan, Binhang Yuan, Jiacheng Sun Beyond Match Maximization and Fairness: Retention-Optimized Two-Sided Matching
Ren Kishimoto, Rikiya Takehi, Koichi Tanaka, Yoji Tomita, Masahiro Nomura, Riku Togashi, Yuta Saito Beyond Multi-Token Prediction: Pretraining LLMs with Future Summaries
Divyat Mahajan, Sachin Goyal, Badr Youbi Idrissi, Mohammad Pezeshki, Ioannis Mitliagkas, David Lopez-Paz, Kartik Ahuja Beyond Outliers: A Study of Optimizers Under Quantization
Georgios Vlassis, Saleh Ashkboos, Alexandra Volkova, Torsten Hoefler, Dan Alistarh Beyond Pass@ 1: Self-Play with Variational Problem Synthesis Sustains RLVR
Xiao Liang, Zhong-Zhi Li, Yeyun Gong, Yelong Shen, Ying Nian Wu, Zhijiang Guo, Weizhu Chen Beyond Real: Imaginary Extension of Rotary Position Embeddings for Long-Context LLMs
Xiaoran Liu, Yuerong Song, Zhigeng Liu, Zengfeng Huang, Qipeng Guo, Zhaoxiang Liu, Shiguo Lian, Ziwei He, Xipeng Qiu Beyond Simple Graphs: Neural Multi-Objective Routing on Multigraphs
Filip Rydin, Attila Lischka, Jiaming Wu, Morteza Haghir Chehreghani, Balazs Kulcsar Beyond Speedup - Utilizing KV Cache for Sampling and Reasoning
Zeyu Xing, Xing Li, Hui-Ling Zhen, Mingxuan Yuan, Sinno Jialin Pan Beyond Structure: Invariant Crystal Property Prediction with Pseudo-Particle Ray Diffraction
Bin Cao, Yang Liu, Longhan Zhang, Yifan Wu, Zhixun Li, Yuyu Luo, Hong Cheng, Yang Ren, Tongyi Zhang Beyond Student: An Asymmetric Network for Neural Network Inheritance
Yiyun Zhou, Jingwei Shi, Mingjing Xu, Zhonghua Jiang, Jingyuan Chen Beyond Text-Only: Towards Multimodal Table Retrieval in Open-World
Da Li, Keping Bi, Jiafeng Guo, Wei Yuan, Fan Yang, Tingting Gao, Xueqi Cheng Beyond Text-to-Image: Liberating Generation with a Unified Discrete Diffusion Model
Qingyu Shi, Jinbin Bai, Zhuoran Zhao, Wenhao Chai, Kaidong Yu, Jianzong Wu, Shuangyong Song, Yunhai Tong, Xiangtai Li, Xuelong Li, Shuicheng Yan Beyond Uniformity: Regularizing Implicit Neural Representations Through a Lipschitz Lens
Julian McGinnis, Suprosanna Shit, Florian A. Hölzl, Paul Friedrich, Paul Büschl, Vasiliki Sideri-Lampretsa, Mark Mühlau, Philippe C. Cattin, Bjoern Menze, Daniel Rueckert, Benedikt Wiestler BeyondBench: Contamination-Resistant Evaluation of Reasoning in Language Models
Gaurav Srivastava, Aafiya Shamshad Hussain, Zhenyu Bi, Swastik Roy, Priya Pitre, Meng Lu, Morteza Ziyadi, Xuan Wang BFM-Zero: A Promptable Behavioral Foundation Model for Humanoid Control Using Unsupervised Reinforcement Learning
Yitang Li, Zhengyi Luo, Tonghe Zhang, Cunxi Dai, Anssi Kanervisto, Andrea Tirinzoni, Haoyang Weng, Kris Kitani, Mateusz Guzek, Ahmed Touati, Alessandro Lazaric, Matteo Pirotta, Guanya Shi Bi-Criteria Metric Distortion
Kiarash Banihashem, Diptarka Chakraborty, Shayan Chashm Jahan, Iman Gholami, MohammadTaghi Hajiaghayi, Mohammad Mahdavi, Max Springer Bi-Lipschitz Autoencoder with Injectivity Guarantee
Qipeng Zhan, Zhuoping Zhou, Zexuan Wang, Qi Long, Li Shen BiasBusters: Uncovering and Mitigating Tool Selection Bias in Large Language Models
Thierry Blankenstein, Jialin Yu, Zixuan Li, Vassilis Plachouras, Sunando Sengupta, Philip Torr, Yarin Gal, Alasdair Paren, Adel Bibi BiasScope: Towards Automated Detection of Bias in LLM-as-a-Judge Evaluation
Peng Lai, Zhihao Ou, Yong Wang, Longyue Wang, Jian Yang, Yun Chen, Guanhua Chen BideDPO: Conditional Image Generation with Simultaneous Text and Condition Alignment
Dewei Zhou, Mingwei Li, Zongxin Yang, Yu Lu, Yunqiu Xu, Zhizhong Wang, Zeyi Huang, Yi Yang Bidirectional Predictive Coding
Gaspard Oliviers, Mufeng Tang, Rafal Bogacz Bilateral Information-Aware Test-Time Adaptation for Vision-Language Models
Jingwei Sun, Jianing Zhu, Jiangchao Yao, Gang Niu, Masashi Sugiyama, Bo Han BindWeave: Subject-Consistent Video Generation via Cross-Modal Integration
Zhaoyang Li, Dongjun Qian, Kai Su, Qishuai Diao, Xiangyang Xia, Chang Liu, Wenfei Yang, Tianzhu Zhang, Zehuan Yuan BioCAP: Exploiting Synthetic Captions Beyond Labels in Biological Foundation Models
Ziheng Zhang, Xinyue Ma, Arpita Chowdhury, Elizabeth G Campolongo, Matthew J Thompson, Net Zhang, Samuel Stevens, Hilmar Lapp, Tanya Berger-Wolf, Yu Su, Wei-Lun Chao, Jianyang Gu Biologically Plausible Learning via Bidirectional Spike-Based Distillation
Yifei Wang, Zhangyanxun, Changze Lv, Yiyang Lu, Jingwen Xu, Xiaohua Wang, Di Yu, Xin Du, Xuanjing Huang, Xiaoqing Zheng BIRD-INTERACT: Re-Imagining Text-to-SQL Evaluation via Lens of Dynamic Interactions
Nan Huo, Xiaohan Xu, Jinyang Li, Per Jacobsson, Shipei Lin, Bowen Qin, Binyuan Hui, Xiaolong Li, Ge Qu, Shuzheng Si, Linheng Han, Edward Alexander, Xintong Zhu, Rui Qin, Ruihan Yu, Yiyao Jin, Feige Zhou, Weihao Zhong, Yun Chen, Hongyu Liu, Chenhao Ma, Fatma Ozcan, Yannis Papakonstantinou, Reynold Cheng Bird's-Eye-View Informed Reasoning Driver
Yinuo Wang, Mining Tan, Yuanxin Zhong, Wang Zhitao, Siyuan Cheng Black-Box Privacy Attacks on Shared Representations in Multitask Learning
John Abascal, Nicolás Berrios, Alina Oprea, Jonathan Ullman, Adam Smith, Matthew Jagielski Block Recurrent Dynamics in Vision Transformers
Mozes Jacobs, Thomas Fel, Richard Hakim, Alessandra Brondetta, Demba E. Ba, T. Anderson Keller Block-Wise Adaptive Caching for Accelerating Diffusion Policy
Kangye Ji, Yuan Meng, Hanyun Cui, Ye Li, Jianbo Zhou, Shengjia Hua, Lei Chen, Zhi Wang BOAD: Discovering Hierarchical Software Engineering Agents via Bandit Optimization
Iris Xu, Guangtao Zeng, Zexue He, Charles Jin, Aldo Pareja, Dan Gutfreund, Chuang Gan, Zhang-Wei Hong Boolean Satisfiability via Imitation Learning
Zewei Zhang, Huan Liu, Yuanhao Yu, Jun Chen, Xiangyu Xu Boomerang Distillation Enables Zero-Shot Model Size Interpolation
Sara Kangaslahti, Nihal V. Nayak, Jonathan Geuter, Marco Fumero, Francesco Locatello, David Alvarez-Melis Boosted Trees on a Diet: Compact Models for Resource-Constrained Devices
Nina Herrmann, Jan Stenkamp, Benjamin Karic, Stefan Oehmcke, Fabian Gieseke Boosting for Predictive Sufficiency
Abbavaram Gowtham Reddy, Rajeev Verma, Celia Rubio-Madrigal, Krikamol Muandet, Rebekka Burkholz Boosting Multi-Domain Reasoning of LLMs via Curvature-Guided Policy Optimization
Xize Liang, Lin Yang, Jie Wang, Rui Liu, Yang Lu, Jinliang Zeng, Hanzhu Chen, Dong Li, Jianye Hao Bootstrapping MLLM for Weakly‑Supervised Class‑Agnostic Object Counting
Xiaowen Zhang, Zijie Yue, Yong Luo, Cairong Zhao, Qijun Chen, Miaojing Shi BoRA: Towards More Expressive Low-Rank Adaptation with Block Diversity
Shiwei Li, Xiandi Luo, Haozhao Wang, Xing Tang, Ziqiang Cui, Dugang Liu, Yuhua Li, Yichen Li, Xiuqiang He, Ruixuan Li BoreaRL: A Multi-Objective Reinforcement Learning Environment for Climate-Adaptive Boreal Forest Management
Kevin Bradley Dsouza, Enoch Ofosu, Daniel Chukwuemeka Amaogu, Jérôme Pigeon, Richard Boudreault, Pooneh Maghoul, Juan Moreno-Cruz, Yuri Leonenko BOTS: A Unified Framework for Bayesian Online Task Selection in LLM Reinforcement Finetuning
Qianli Shen, Daoyuan Chen, Yilun Huang, Zhenqing Ling, Yaliang Li, Bolin Ding, Jingren Zhou Bound by Semanticity: Universal Laws Governing the Generalization-Identification Tradeoff
Marco Nurisso, Jesseba Fernando, Raj Deshpande, Alan Perotti, Raja Marjieh, Steven M Frankland, Richard Lewis, Taylor Whittington Webb, Declan Iain Campbell, Francesco Vaccarino, Jonathan D. Cohen, Giovanni Petri Bounds of Chain-of-Thought Robustness: Reasoning Steps, Embed Norms, and Beyond
Dingzirui Wang, Xuanliang Zhang, Keyan Xu, Qingfu Zhu, Wanxiang Che, Yang Deng Bradley-Terry and Multi-Objective Reward Modeling Are Complementary
Zhiwei Zhang, Hui Liu, Xiaomin Li, Zhenwei Dai, Jingying Zeng, Fali Wang, Minhua Lin, Ramraj Chandradevan, Linlin Wu, Zhen Li, Chen Luo, Zongyu Wu, Xianfeng Tang, Qi He, Suhang Wang Brain-IT: Image Reconstruction from fMRI via Brain-Interaction Transformer
Roman Beliy, Amit Zalcher, Jonathan Kogman, Navve Wasserman, Michal Irani Branch and Bound Search for Exact MAP Inference in Credal Networks
Radu Marinescu, Fabio Cozman, Denis Mauá, Debarun Bhattacharjya, Junkyu Lee, Alexander G. Gray Branched Schrödinger Bridge Matching
Sophia Tang, Yinuo Zhang, Alexander Tong, Pranam Chatterjee Breaking Agent Backbones: Evaluating the Security of Backbone LLMs in AI Agents
Julia Bazinska, Max Mathys, Francesco Casucci, Mateo Rojas-Carulla, Xander Davies, Alexandra Souly, Niklas Pfister Breaking Barriers: Do Reinforcement Post Training Gains Transfer to Unseen Domains?
Chuxuan Hu, Yuxuan Zhu, Antony Kellermann, Caleb Biddulph, Suppakit Waiwitlikhit, Jason Benn, Daniel Kang Breaking Safety Paradox with Feasible Dual Policy Iteration
Yujie Yang, Jinglin Teh, Ziyu Lin, Kaicheng Yu, Tao Zhang, Shengbo Eben Li BridgeDrive: Diffusion Bridge Policy for Closed-Loop Trajectory Planning in Autonomous Driving
Shu Liu, Wenlin Chen, Weihao Li, Zheng Wang, Lijin Yang, Jianing Huang, YipinZhang, Zhongzhan Huang, Ze Cheng, Hao Yang Bridging Explainability and Embeddings: BEE Aware of Spuriousness
Cristian Daniel Paduraru, Antonio Barbalau, Radu Filipescu, Andrei Liviu Nicolicioiu, Elena Burceanu Bridging Input Feature Spaces Towards Graph Foundation Models
Moshe Eliasof, Krishna Sri Ipsit Mantri, Beatrice Bevilacqua, Bruno Ribeiro, Carola-Bibiane Schönlieb Bridging the Gap Between Promise and Performance for Microscaling FP4 Quantization
Vage Egiazarian, Roberto L. Castro, Denis Kuznedelev, Andrei Panferov, Eldar Kurtic, Shubhra Pandit, Alexandre Noll Marques, Mark Kurtz, Saleh Ashkboos, Torsten Hoefler, Dan Alistarh Bridging the Performance-Gap Between Target-Free and Target-Based Reinforcement Learning
Théo Vincent, Yogesh Tripathi, Tim Faust, Abdullah Akgül, Yaniv Oren, Melih Kandemir, Jan Peters, Carlo D'Eramo BrowseNet: Graph-Based Associative Memory for Contextual Information Retrieval
Pavan Kumar S, Kiran Kumar Nakka, C Vamshi Krishna Reddy, Divyateja Pasupuleti, Prakhar Agarwal, Harpinder Jot Singh, Anshu Avinash, Nirav Pravinbhai Bhatt Building a Foundational Guardrail for General Agentic Systems via Synthetic Data
Yue Huang, Hang Hua, Yujun Zhou, Pengcheng Jing, Manish Nagireddy, Inkit Padhi, Greta Dolcetti, Zhangchen Xu, Subhajit Chaudhury, Ambrish Rawat, Liubov Nedoshivina, Pin-Yu Chen, Prasanna Sattigeri, Xiangliang Zhang ByteFlow: Language Modeling Through Adaptive Byte Compression Without a Tokenizer
Chunyuan Deng, Sanket Lokegaonkar, Colin Lockard, Besnik Fetahu, Nasser Zalmout, Xian Li Byzantine-Robust Federated Learning with Learnable Aggregation Weights
Javad Parsa, Amir Hossein Daghestani, André M. H. Teixeira, Mikael Johansson C-Evolve: Consensus-Based Evolution for Prompt Groups
Tiancheng Li, Yuhang Wang, Zhiyang Chen, Zijun Wang, Liyuan Ma, Guo-Jun Qi C-Voting: Confidence-Based Test-Time Voting Without Explicit Energy Functions
Kenji Kubo, Shunsuke Kamiya, Masanori Koyama, Kohei Hayashi, Yusuke Iwasawa, Yutaka Matsuo Cache-to-Cache: Direct Semantic Communication Between Large Language Models
Tianyu Fu, Zihan Min, Hanling Zhang, Jichao Yan, Guohao Dai, Wanli Ouyang, Yu Wang Calibrated Information Bottleneck for Trusted Multi-Modal Clustering
Shizhe Hu, Zhangwen Gou, Shuaiju Li, Jin Qin, Xiaoheng Jiang, Pei Lv, Mingliang Xu Cambrian-S: Towards Spatial Supersensing in Video
Shusheng Yang, Jihan Yang, Pinzhi Huang, Ellis L Brown Ii, Zihao Yang, Yue Yu, Shengbang Tong, Zihan Zheng, Yifan Xu, Muhan Wang, Rob Fergus, Yann LeCun, Li Fei-Fei, Saining Xie Can Language Models Discover Scaling Laws?
Haowei Lin, Haotian Ye, Wenzheng Feng, Quzhe Huang, Yujun Li, Hubert Lim, Zhengrui Li, Xiangyu Wang, Jianzhu Ma, Yitao Liang, James Zou Can Large Language Models Match the Conclusions of Systematic Reviews?
Christopher Polzak, Alejandro Lozano, Min Woo Sun, James Burgess, Yuhui Zhang, Kevin Wu, Chia-Chun Chiang, Jeffrey J Nirschl, Serena Yeung-Levy Can LLMs Reason Soundly in Law? Auditing Inference Patterns for Legal Judgment
Lu Chen, Yuxuan Huang, Yixing Li, Dongrui Liu, Qihan Ren, ShuaiZhao, Kun Kuang, Zilong Zheng, Quanshi Zhang Can Small Training Runs Reliably Guide Data Curation? Rethinking Proxy-Model Practice
Jiachen T. Wang, Tong Wu, Kaifeng Lyu, James Zou, Dawn Song, Ruoxi Jia, Prateek Mittal Can Speech LLMs Think While Listening?
Yi-Jen Shih, Desh Raj, Chunyang Wu, Wei Zhou, Sk Bong, Yashesh Gaur, Jay Mahadeokar, Ozlem Kalinli, Mike Seltzer Can Vision-Language Models Answer Face to Face Questions in the Real-World?
Reza Pourreza, Rishit Dagli, Apratim Bhattacharyya, Sunny Panchal, Guillaume Berger, Roland Memisevic Can We Generate Portable Representations for Clinical Time Series Data Using LLMs?
Zongliang Ji, Yifei Sun, Andre Carlos Kajdacsy-Balla Amaral, Anna Goldenberg, Rahul G Krishnan Cancer-Myth: Evaluating Large Language Models on Patient Questions with False Presuppositions
Wang Bill Zhu, Tian-qi Chen, Xinyan Velocity Yu, Ching Ying Lin, Jade Law, Mazen Jizzini, Jorge J. Nieva, Ruishan Liu, Robin Jia Cannistraci-Hebb Training on Ultra-Sparse Spiking Neural Networks
Yuan Hua, Jilin Zhang, Yingtao Zhang, Leyi You, Baobo Xiong, Carlo Vittorio Cannistraci, Hong Chen Capability-Based Scaling Trends for LLM-Based Red-Teaming
Alexander Panfilov, Paul Kassianik, Maksym Andriushchenko, Jonas Geiping CapRL: Stimulating Dense Image Caption Capabilities via Reinforcement Learning
Long Xing, Xiaoyi Dong, Yuhang Zang, Yuhang Cao, Jianze Liang, Qidong Huang, Jiaqi Wang, Feng Wu, Dahua Lin Captain Cinema: Towards Short Movie Generation
Junfei Xiao, Ceyuan Yang, Lvmin Zhang, Shengqu Cai, Yang Zhao, Yuwei Guo, Gordon Wetzstein, Maneesh Agrawala, Alan Yuille, Lu Jiang CAR-LoRA: Training Compression-Aware and Robust LoRA Adapters for Evolving LLMs
Rana Shahroz, Zhen Tan, Ruichen Zhang, Hua Wei, Tianlong Chen, Charles Fleming CARD: Towards Conditional Design of Multi-Agent Topological Structures
Tongtong Wu, Yanming Li, Ziye Tang, Chen Jiang, Linhao Luo, Guilin Qi, Shirui Pan, Gholamreza Haffari CardioComposer: Leveraging Differentiable Geometry for Compositional Control of Anatomical Diffusion Models
Karim Kadry, Shoaib A. Goraya, Ajay Manicka, Abdalla Abdelwahed, Naravich Chutisilp, Farhad R. Nezami, Elazer R Edelman CARE: Covariance-Aware and Rank-Enhanced Decomposition for Enabling Multi-Head Latent Attention
Zhongzhu Zhou, Fengxiang Bie, Ziyan Chen, Zhenyu Zhang, Yibo Yang, Junxiong Wang, Ben Athiwaratkun, Xiaoxia Wu, Shuaiwen Leon Song CARL: Camera-Agnostic Representation Learning for Spectral Image Analysis
Alexander Baumann, Leonardo Ayala, Silvia Seidlitz, Jan Sellner, Alexander Studier-Fischer, Berkin Özdemir, Lena Maier-hein, Slobodan Ilic CARL: Preserving Causal Structure in Representation Learning
Yulong Li, Xiwei Liu, Feilong Tang, Zhixiang Lu, Ming Hu, Yichen Li, Haochen Xue, Peixin Guo, Jionglong Su, Yutong Xie, Eran Segal, Imran Razzak CARPRT: Class-Aware Zero-Shot Prompt Reweighting for Vision-Language Model
Ruijiang Dong, Zesheng Ye, Jianzhong Qi, Lei Feng, Feng Liu, Gang Niu, Masashi Sugiyama Carré Du Champ Flow Matching: Better Quality-Generalisation Tradeoff in Generative Models
Jacob Bamberger, Iolo Jones, Dennis Duncan, Michael M. Bronstein, Pierre Vandergheynst, Adam Gosztolai Cartridges: Lightweight and General-Purpose Long Context Representations via Self-Study
Sabri Eyuboglu, Ryan Saul Ehrlich, Simran Arora, Neel Guha, Dylan Zinsley, Emily Ruoyu Liu, Atri Rudra, James Zou, Azalia Mirhoseini, Christopher Re Cascadia: An Efficient Cascade Serving System for Large Language Models
Youhe Jiang, Fangcheng Fu, Wanru Zhao, Stephan Rabanser, Jintao Zhang, Nicholas D. Lane, Binhang Yuan CASteer: Cross-Attention Steering for Controllable Concept Erasure
Tatiana Gaintseva, Andreea-Maria Oncescu, Chengcheng Ma, Ziquan Liu, Martin Benning, Gregory Slabaugh, Jiankang Deng, Ismail Elezi CaTS: Calibrated Test-Time Scaling for Efficient LLM Reasoning
Chengsong Huang, Langlin Huang, Jixuan Leng, Jiacheng Liu, Jiaxin Huang Cautious Weight Decay
Lizhang Chen, Jonathan Li, Kaizhao Liang, Baiyu Su, Cong Xie, Chen Liang, Ni Lao, Qiang Liu CDBridge: A Cross-Omics Post-Training Bridge Strategy for Context-Aware Biological Modeling
Chang Yu, Siyuan Li, Zicheng Liu, Jingbo Zhou, Xianglong Guo, Kai Yu, Yuqing Zhou, Ken Li, Zelin Zang, Zhen Lei, Stan Z. Li CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models
Runpeng Dai, Linfeng Song, Haolin Liu, Zhenwen Liang, Dian Yu, Haitao Mi, Zhaopeng Tu, Rui Liu, Tong Zheng, Hongtu Zhu, Dong Yu CellAgent: LLM-Driven Multi-Agent Framework for Natural Language-Based Single-Cell Analysis
Yihang Xiao, Jinyi Liu, Yan Zheng, Shaoqing Jiao, Jianye Hao, Xiaohan Xie, Limingzhi, Ruitao Wang, Fei Ni, Yuxiao Li, Zhen Wang, Xuequn Shang, Zhijie Bao, Changxiao Yang, Jiajie Peng Celo2: Towards Learned Optimization Free Lunch
Abhinav Moudgil, Boris Knyazev, Eugene Belilovsky CerebraGloss: Instruction-Tuning a Large Vision-Language Model for Fine-Grained Clinical EEG Interpretation
Wei Gu, Luo Tianming, Qiran Zhang, Mohan Ye, Xiao Shen, Wenxin Chen, Yunhuan Li, Yichen Zhang, Jing Hong, Bao-liang Lu, Wei-Long Zheng Certified vs. Empirical Adversarial Robustness via Hybrid Convolutions with Attention Stochasticity
Joy Dhar, Song Xia, Manish Kumar Pandey, Maryam Haghighat, Azadeh Alavi, Ferdous Sohel, Wenyu Zhang, Nayyar Zaidi CHAMMI-75: Pre-Training Multi-Channel Models with Heterogeneous Microscopy Images
Vidit Agrawal, John Peters, Tyler N. Thompson, Mohammad Vali Sanian, Chau Pham, Nikita Moshkov, Arshad Kazi, Aditya Pillai, Jack Freeman, Byunguk Kang, Samouil L. Farhi, Ernest Fraenkel, Ron M. Stewart, Lassi Paavolainen, Bryan A. Plummer, Juan C. Caicedo Change Point Localization and Inference in Dynamic Multilayer Networks
Fan Wang, Kyle Ritscher, Yik Lun Kei, Xin Ma, Oscar Hernan Madrid Padilla Characteristic Root Analysis and Regularization for Linear Time Series Forecasting
Zheng Wang, Kaixuan Zhang, Wanfang Chen, Xiaonan Lu, Longyuan Li, Tobias Schlagenhauf Characterizing Deep Research: A Benchmark and Formal Definition
Abhinav Java, Ashmit Khandelwal, Sukruta Prakash Midigeshi, Aaron Halfaker, Amit Deshpande, Navin Goyal, Ankur Gupta, Nagarajan Natarajan, Amit Sharma Characterizing Pattern Matching and Its Limits on Compositional Task Structures
Hoyeon Chang, Jinho Park, Hanseul Cho, Sohee Yang, Miyoung Ko, Hyeonbin Hwang, Seungpil Won, Dohaeng Lee, Youbin Ahn, Minjoon Seo ChartGalaxy: A Dataset for Infographic Chart Understanding and Generation
Zhen Li, Duan Li, Yukai Guo, Xinyuan Guo, Bowen Li, Lanxi Xiao, Shenyu Qiao, Jiashu Chen, Zijian Wu, Hui Zhang, Xinhuan Shu, Shixia Liu Charts Are Not Images: On the Challenges of Scientific Chart Editing
Li Li, Ryan A. Rossi, Sungchul Kim, Sunav Choudhary, Franck Dernoncourt, Puneet Mathur, Zhengzhong Tu, Yue Zhao Chasing the Tail: Effective Rubric-Based Reward Modeling for Large Language Model Post-Training
Junkai Zhang, Zihao Wang, Lin Gui, Swarnashree Mysore Sathyendra, Jaehwan Jeong, Victor Veitch, Wei Wang, Yunzhong He, Bing Liu, Lifeng Jin CheckMate! Watermarking Graph Diffusion Models in Polynomial Time
Roberto Gheda, Abele Mălan, Robert Birke, Maksim Kitsak, Lydia Y. Chen ChemEval: A Multi-Level and Fine-Grained Chemical Capability Evaluation for Large Language Models
Yuqing Huang, Rongyang Zhang, Xuesong He, Xuyang Zhi, Hao Wang, Nuo Chen, Zongbo Liu, Xin Li, Feiyang Xu, Deguang Liu, Huadong Liang, YiLi, Jian Cui, Yin Xu, Shijin Wang, Qi Liu, Defu Lian, Guiquan Liu, Enhong Chen Chessformer: A Unified Architecture for Chess Modeling
Daniel Monroe, George Eilender, Philip Chalmers, Zhenwei Tang, Ashton Anderson Children's Intelligence Tests Pose Challenges for MLLMs? KidGym: A 2D Grid-Based Reasoning Benchmark for MLLMs
Hengwei Ye, Yuanting Guan, Yuxuan Ge, Tianying Zhu, Yijia Zhong, YiJing Zhang, Han Zhang, Yingna Wu, Zheng Tian ChinaTravel: An Open-Ended Travel Planning Benchmark with Compositional Constraint Validation for Language Agents
Jie-Jing Shao, Bo-Wen Zhang, Xiao-Wen Yang, Baizhi Chen, Siyu Han, Pang Jinghao, Wen-Da Wei, Guohao Cai, Zhenhua Dong, Lan-Zhe Guo, Yu-Feng Li Choices Speak Louder than Questions
Gyeongje Cho, Yeonkyoung So, Jaejin Lee CHROMA: Consistent Harmonization of Multi-View Appearance via Bilateral Grid Prediction
Jisu Shin, Richard Shaw, Seunghyun Shin, Zhensong Zhang, Hae-Gon Jeon, Eduardo Pérez-Pellitero ChronoEdit: Towards Temporal Reasoning for In-Context Image Editing and World Simulation
Jay Zhangjie Wu, Xuanchi Ren, Tianchang Shen, Tianshi Cao, Kai He, Yifan Lu, Ruiyuan Gao, Enze Xie, Shiyi Lan, Jose M. Alvarez, Jun Gao, Sanja Fidler, Zian Wang, Huan Ling CIMemories: A Compositional Benchmark for Contextual Integrity in LLMs
Niloofar Mireshghallah, Neal Mangaokar, Narine Kokhlikyan, Arman Zharmagambetov, Manzil Zaheer, Saeed Mahloujifar, Kamalika Chaudhuri Circuit Insights: Towards Interpretability Beyond Activations
Elena Golimblevskaia, Aakriti Jain, Bruno Puri, Ammar Ibrahim, Wojciech Samek, Sebastian Lapuschkin CircuitNet 3.0: A Multi-Modal Dataset with Task-Oriented Augmentation for AI-Driven Circuit Design
Mingjun Wang, Yihan Wen, Yuntao Lu, Fengrui Liu, Yuxiang Zhao, Boyu Han, Jianan Mu, Yibo Lin, Runsheng Wang, Bei Yu, Huawei Li CityLens: Evaluating Large Vision-Language Models for Urban Socioeconomic Sensing
Tianhui Liu, Hetian Pang, Xin Zhang, Tianjian Ouyang, Zhiyuan Zhang, Jie Feng, Yong Li, Pan Hui CLARC: C/C++ Benchmark for Robust Code Search
Kaicheng Wang, Liyan Huang, Weike Fang, Weihang Wang ClarifyVC: Clarifying Ambiguous Commands in Vehicle Control with a Hybrid Data Augmentation Pipeline
Hange Zhou, Zhonglin Jiang, Yingjie Cui, Mingzhe Zhang, Xiaotang Wang, Hengwei Dai, Qiyao Yu, Yong Chen, Yongqi Zhang CLIP-FMoE: Scalable CLIP via Fused Mixture-of-Experts with Enforced Specialization
Luong Tran, Lan-Cuong Nguyen, Huynh Dang Nguyen, Dat Nguyen Cong, Dung D. Le, Van Nguyen CLoD-GS: Continuous Level-of-Detail via 3D Gaussian Splatting
Zhigang Cheng, Mingchao Sun, Yu Liu, Zengye Ge, Luyang Tang, Mu Xu, Yangyan Li, Peng Pan Closing the Gap Between Text and Speech Understanding in LLMs
Santiago Cuervo, Skyler Seto, Maureen de Seyssel, Richard He Bai, Zijin Gu, Tatiana Likhomanenko, Navdeep Jaitly, Zakaria Aldeneh Closing the Modality Gap Aligns Group-Wise Semantics
Eleonora Grassucci, Giordano Cicchetti, Emanuele Frasca, Aurelio Uncini, Danilo Comminiello Closing the Safety Gap: Surgical Concept Erasure in Visual Autoregressive Models
Xinhao Zhong, Yimin Zhou, Zhiqi Zhang, Junhao Li, Sun Yi, Bin Chen, Shu-Tao Xia, Xuan Wang, Ke Xu CLUTCH: Contextualized Language Model for Unlocking Text-Conditioned Hand Motion Modelling in the Wild
Balamurugan Thambiraja, Omid Taheri, Radek Danecek, Giorgio Becherini, Gerard Pons-Moll, Justus Thies CMPhysBench: A Benchmark for Evaluating Large Language Models in Condensed Matter Physics
Weida Wang, Dongchen Huang, Jiatong Li, Tengchao Yang, Ziyang Zheng, Chuyi Peng, Di Zhang, Dong Han, Benteng Chen, Binzhao Luo, Zhiyu Liu, Kunling Liu, Zhiyuan Gao, Shiqigeng, Wei Ma, Jiaming Su, Xin Li, Shuchen Pu, Yuhan Shui, Qianjia Cheng, Zhihao Dou, Dongfei Cui, Changyong He, Jin Zeng, Zeke Xie, Mao Su, Dongzhan Zhou, Yuqiang Li, Wanli Ouyang, Yunqi Cai, Xi Dai, Shufei Zhang, Lei Bai, Jinguang Cheng, Zhong Fang, Hongming Weng CMT-Benchmark: A Benchmark for Condensed Matter Theory Built by Expert Researchers
Haining Pan, James V Roggeveen, Erez Berg, Juan Felipe Carrasquilla Alvarez, Debanjan Chowdhury, Surya Ganguli, Federico Ghimenti, Juraj Hasik, Henry S. Hunt, Hong-Chen Jiang, Mason Kamb, Ying-Jer Kao, Ehsan Khatami, Michael J Lawler, Di Luo, Titus Neupert, Xiaoliang Qi, Michael Brenner, Eun-Ah Kim Co-Occurring Associated REtained Concepts in Diffusion Unlearning
Miso Kim, Georu Lee, Yunji Kim, Hoki Kim, Jinseong Park, Woojin Lee Co-Rewarding: Stable Self-Supervised RL for Eliciting Reasoning in Large Language Models
Zizhuo Zhang, Jianing Zhu, Xinmu Ge, Zihua Zhao, Zhanke Zhou, Xuan Li, Xiao Feng, Jiangchao Yao, Bo Han CoAct-1: Computer-Using Multi-Agent System with Coding Actions
Linxin Song, Yutong Dai, Viraj Prabhu, Jieyu Zhang, Taiwei Shi, Li Li, Junnan Li, Silvio Savarese, Zeyuan Chen, Jieyu Zhao, Ran Xu, Caiming Xiong Coarse-to-Fine Learning of Dynamic Causal Structures
Dezhi Yang, Qiaoyu Tan, Carlotta Domeniconi, Jun Wang, Lizhen Cui, Guoxian Yu CoDA: Agentic Systems for Collaborative Data Visualization
Zichen Chen, Jiefeng Chen, Sercan O Arik, Misha Sra, Tomas Pfister, Jinsung Yoon Code Aesthetics with Agentic Reward Feedback
Bang Xiao, Lingjie Jiang, Shaohan Huang, Tengchao Lv, Yupan Huang, Xun Wu, Lei Cui, Furu Wei Code Driven Planning with Domain-Adaptive Selector
Zikang Tian, Shaohui Peng, Di Huang, Jiaming Guo, Ruizhi Chen, Rui Zhang, Xishan Zhang, Yuxuan Guo, Zidong Du, Qi Guo, Ling Li, Yewen Pu, Xing Hu, Yunji Chen Code World Models for General Game Playing
Wolfgang Lehrach, Daniel Hennes, Miguel Lazaro-Gredilla, Xinghua Lou, Carter Wendelken, Zun Li, Antoine Dedieu, Marc Lanctot, Atil Iscen, John Schultz, Marcus Chiam, Ian Gemp, Piotr Zielinski, Satinder Singh, Kevin Patrick Murphy CodeGenGuard: A Watermark for Code Generation Models
Borui Yang, Mingxuan Ma, Liyao Xiang, Nan Chen, Xin Zhang, Linghe Kong, Xinghao Jiang CodeQuant: Unified Clustering and Quantization for Enhanced Outlier Smoothing in Low-Precision Mixture-of-Experts
Xiangyang Yin, Xingyu Liu, Tianhua Xia, Bo Bao, Vithursan Thangarasa, Valavan Manohararajah, Eric Sather, Sai Qian Zhang CodeSense: A Real-World Benchmark and Dataset for Code Semantic Reasoning
Monoshi Kumar Roy, Simin Chen, Benjamin Steenhoek, Jinjun Peng, Gail Kaiser, Baishakhi Ray, Wei Le Codified Finite-State Machines for Role-Playing
Letian Peng, Yupeng Hou, Kun Zhou, Jingbo Shang CogMoE: Signal-Quality–Guided Multimodal MoE for Cognitive Load Prediction
Aamir Bader Shah, Yu Wen, Renjie Hu, Jiefu Chen, Jose L Contreras-Vidal, Xuqing Wu, Xin Fu CogniMap3D: Cognitive 3D Mapping and Rapid Retrieval
Feiran Wang, Junyi Wu, Dawen Cai, Yuan Hong, Yan Yan Cognitive Models Can Reveal Interpretable Value Trade-Offs in Language Models
Sonia Krishna Murthy, Rosie Zhao, Jennifer Hu, Sham M. Kakade, Markus Wulfmeier, Peng Qian, Tomer Ullman CoLA: Co-Calibrated Logit Adjustment for Long-Tailed Semi-Supervised Learning
Qian Shao, Qiyuan Chen, Jiahe Chen, Zepeng Li, Qianqian Tang, Hongxia Xu, Jian Wu CollectiveKV: Decoupling and Sharing Collaborative Information in Sequential Recommendation
Jingyu Li, Zhaocheng Du, Qianhui Zhu, Kaiyuan Li, Zhicheng Zhang, Song-Li Wu, Chaolang Li, Pengwen Dai CoMAS: Co-Evolving Multi-Agent Systems via Interaction Rewards
Xiangyuan Xue, Yifan Zhou, Guibin Zhang, Zaibin Zhang, Yijiang Li, Chen Zhang, Zhenfei Yin, Philip Torr, Wanli Ouyang, Lei Bai Combinatorial Rising Bandits
Seockbean Song, Youngsik Yoon, Siwei Wang, Wei Chen, Jungseul Ok CoMem: Compositional Concept-Graph Memory for Vision–Language Adaptation
Heng Zhou, Jing Tang, Jusheng Zhang, Yanshu Li, Canran Xiao, Liwei Hou, Zong Ke, Jiawei Yao ComGS: Efficient 3D Object-Scene Composition via Surface Octahedral Probes
Jian Gao, Mengqi Yuan, Yifei Zeng, Chang Zeng, Zhihao Li, Zhenyu Chen, Weichao Qiu, Xiao-Xiao Long, Hao Zhu, Xun Cao, Yao Yao COMI: Coarse-to-Fine Context Compression via Marginal Information Gain
Jiwei Tang, Shilei Liu, Zhicheng Zhang, Yujin Yuan, Libin Zheng, Wenbo Su, Bo Zheng Command-V: Training-Free Representation Finetuning Transfer
Barry Wang, Avi Schwarzschild, Alexander Robey, Ali Payani, Charles Fleming, Mingjie Sun, Daphne Ippolito Common Corpus: The Largest Collection of Ethical Data for LLM Pre-Training
Pierre-Carl Langlais, Pavel Chizhov, Catherine Arnett, Carlos Rosas Hinostroza, Mattia Nee, Eliot Krzysztof Jones, Irène Girard, David Mach, Anastasia Stasenko, Ivan P. Yamshchikov Compactness and Consistency: A Conjoint Framework for Deep Graph Clustering
Wei Ju, Siyu Yi, Kangjie Zheng, Yifan Wang, Ziyue Qiao, Li Shen, Yongdao Zhou, Xiaochun Cao, Jiancheng Lv Comparing AI Agents to Cybersecurity Professionals in Real-World Penetration Testing
Justin W Lin, Eliot Krzysztof Jones, Donovan Julian Jasper, Ethan Jun-shen Ho, Anna Wu, Arnold Tianyi Yang, Neil Perry, Andy Zou, Matt Fredrikson, J Zico Kolter, Percy Liang, Dan Boneh, Daniel E. Ho Completed Hyperparameter Transfer Across Modules, Width, Depth, Batch and Duration
Bruno Kacper Mlodozeniec, Pierre Ablin, Louis Béthune, Dan Busbridge, Michal Klein, Jason Ramapuram, Marco Cuturi CompMarkGS: Robust Watermarking for Compressed 3D Gaussian Splatting
Sumin In, Youngdong Jang, Utae Jeong, MinHyuk Jang, Hyeongcheol Park, Eunbyung Park, Sangpil Kim Composable Sparse Subnetworks via Maximum-Entropy Principle
Francesco Caso, Samuele Fonio, Simone Monaco, Nicola Saccomanno, Fabrizio Silvestri Compose Your Policies! Improving Diffusion-Based or Flow-Based Robot Policies via Test-Time Distribution-Level Composition
Jiahang Cao, Yize Huang, Hanzhong Guo, Qiang Zhang, Rui Zhang, Weijian Mai, Mu Nan, Jiaxu Wang, Hao Cheng, Jingkai Sun, Gang Han, Wen Zhao, Yijie Guo, Qihao Zheng, Xiao Li, Chunfeng Song, Ping Luo, Andrew Luo Composer: A Search Framework for Hybrid Neural Architecture Design
Bilge Acun, Prasoon Sinha, Newsha Ardalani, Sangmin Bae, Alicia Golden, Meghana Madhyastha, Chien-Yu Lin, Fei Sun, Neeraja J. Yadwadkar, Carole-Jean Wu Composition of Memory Experts for Diffusion World Models
Sebastian Stapf, Pablo Acuaviva, Aram Davtyan, Paolo Favaro Composition-Grounded Data Synthesis for Visual Reasoning
Xinyi Gu, Jiayuan Mao, Zhang-Wei Hong, Zhuoran Yu, Pengyuan Li, Dhiraj Joshi, Rogerio Feris, Zexue He Compositional Amortized Inference for Large-Scale Hierarchical Bayesian Models
Jonas Arruda, Vikas Pandey, Catherine Sherry, Margarida Barroso, Xavier Intes, Jan Hasenauer, Stefan T. Radev Compositional Visual Planning via Inference-Time Diffusion Scaling
Yixin Zhang, Yunhao Luo, Utkarsh Aashu Mishra, Woo Chul Shin, Yongxin Chen, Danfei Xu Computational Barriers to Filtering for AI Alignment
Sarah Ball, Grzegorz Gluch, Shafi Goldwasser, Frauke Kreuter, Omer Reingold, Guy N. Rothblum Compute-Optimal Quantization-Aware Training
Aleksandr Dremov, David Grangier, Angelos Katharopoulos, Awni Hannun Computer Agent Arena: Toward Human-Centric Evaluation and Analysis of Computer-Use Agents
Bowen Wang, Xinyuan Wang, Jiaqi Deng, Tianbao Xie, Ryan Li, Yanzhe Zhang, Junli Wang, Dunjie Lu, Zicheng Gong, Gavin Li, Toh Jing Hua, Wei-Lin Chiang, Ion Stoica, Diyi Yang, Yu Su, Yi Zhang, Zhiguo Wang, Victor Zhong, Tao Yu ComputerRL: Scaling End-to-End Online Reinforcement Learning for Computer Use Agents
Hanyu Lai, Xiao Liu, Yanxiao Zhao, Han Xu, Hanchen Zhang, Bohao Jing, Yanyu Ren, Shuntian Yao, Yuxiao Dong, Jie Tang Computing Equilibrium Beyond Unilateral Deviation
Mingyang Liu, Gabriele Farina, Asuman E. Ozdaglar CoNavBench: Collaborative Long-Horizon Vision-Language Navigation Benchmark
Tianhang Wang, Xinhai Li, Fan Lu, Tianshi Gong, Jiankun Dong, Weiyi Xue, Sanqing Qu, Chenjia Bai, Guang Chen Concept-TRAK: Understanding How Diffusion Models Learn Concepts Through Concept Attribution
Yong-Hyun Park, Chieh-Hsin Lai, Satoshi Hayakawa, Yuhta Takida, Naoki Murata, Wei-Hsiang Liao, Woosung Choi, Kin Wai Cheuk, Junghyun Koo, Yuki Mitsufuji Concepts' Information Bottleneck Models
Karim Galliamov, Syed M Ahsan Kazmi, Adil Khan, Adín Ramírez Rivera CONCUR: A Framework for Continual Constrained and Unconstrained Routing
Peter Baile Chen, Weiyue Li, Dan Roth, Mike Cafarella, Samuel Madden, Jacob Andreas Condition Matters in Full-Head 3D GANs
Heyuan Li, Huimin Zhang, Yuda Qiu, Zhengwentai Sun, Keru Zheng, Lingteng Qiu, Peihao Li, Qi Zuo, Ce Chen, Yujian Zheng, Yuming Gu, Zilong Dong, Xiaoguang Han Conditional Advantage Estimation for Reinforcement Learning in Large Reasoning Models
Guanxu Chen, Yafu Li, Yuxian Jiang, Chen Qian, Qihan Ren, Yang JingYi, Yu Cheng, Dongrui Liu, Jing Shao Conditional Independent Component Analysis for Estimating Causal Structure with Latent Variables
Yewei Xia, Zhengming Chen, Haoyue Dai, Fuhong Wang, Yixin Ren, Yiqing Li, Kun Zhang, Shuigeng Zhou Conditionally Whitened Generative Models for Probabilistic Time Series Forecasting
Yanfeng Yang, Siwei Chen, Pingping Hu, Zhaotong Shen, Yingjie Zhang, Zhuoran Sun, Shuai Li, Ziqi Chen, Kenji Fukumizu Conformal Prediction for Long-Tailed Classification
Tiffany Ding, Jean-Baptiste Fermanian, Joseph Salmon Conformalized Decision Risk Assessment
Wenbin Zhou, Agni Orfanoudaki, Shixiang Zhu Conformalized Hierarchical Calibration for Uncertainty-Aware Adaptive Hashing
Junyu Luo, Jinsheng Huang, Yang Xu, Lutong Zou, Xiao Luo, Bohan Wu, Yifan Wang, Wei Ju, Ming Zhang Consistent Noisy Latent Rewards for Trajectory Preference Optimization in Diffusion Models
Xiaole Xian, Xilin He, Wenting Chen, Wenshuang Liu, Wenqi Mu, Yancheng He, Liang Li, Yi Zhang, Xiangyu Yue Consistent Text-to-Image Generation via Scene De-Contextualization
Song Tang, Peihao Gong, Kunyu Li, Kai Guo, Boyu Wang, Mao Ye, Jianwei Dr. Zhang, Xiatian Zhu Constantly Improving Image Models Need Constantly Improving Benchmarks
Jiaxin Ge, Grace Luo, Heekyung Lee, Nishant Malpani, Long Lian, XuDong Wang, Aleksander Holynski, Trevor Darrell, Sewon Min, David M. Chan Constitutional Classifiers++: Efficient Production-Grade Defenses Against Universal Jailbreaks
Hoagy Cunningham, Jerry Wei, Zihan Wang, Andrew Persic, Alwin Peng, Jordan Abderrachid, Raj Agarwal, Bobby Chen, Andy Dau, Alek Dimitriev, Logan Howard, Yijin Hua, Rob Gilson, Mu Lin, Christopher Liu, Vladimir Mikulik, Rohit Mittapalli, Clare O'Hara, Jin Pan, Nikhil Saxena, Alex Silverstein, Yue Song, Giulio Zhou, Jan Leike, Jared Kaplan, Ethan Perez, Mrinank Sharma Constrained Diffusion for Protein Design with Hard Structural Constraints
Jacob K Christopher, Austin Seamann, Jingyi Cui, Sagar D Khare, Ferdinando Fioretto Constraint Matters: Multi-Modal Representation for Reducing Mixed-Integer Linear Programming
Jiajun Li, Yixuan Li, Ran Hou, Yu Ding, Shisi Guan, Jiahui Duan, Xiongwei Han, Tao Zhong, Vincent Chau, Weiwei Wu, Zhiyuan Liu, Wanyuan Wang Constructive Distortion: Improving MLLMs with Attention-Guided Image Warping
Dwip Dalal, Gautam Vashishtha, Utkarsh Mishra, Jeonghwan Kim, Madhav Kanda, Hyeonjeong Ha, Svetlana Lazebnik, Heng Ji, Unnat Jain Contact-Guided Real2Sim from Monocular Video with Planar Scene Primitives
Zihan Wang, Jiashun Wang, Jeff Tan, Yiwen Zhao, Jessica K. Hodgins, Shubham Tulsiani, Deva Ramanan Content-Aware Mamba for Learned Image Compression
Yunuo Chen, Zezheng Lyu, Bing He, Hongwei Hu, Qi Wang, Yuan Tian, Li Song, Wenjun Zhang, Guo Lu Context and Diversity Matter: The Emergence of In-Context Learning in World Models
Fan Wang, Zhiyuan Chen, Yuxuan Zhong, Sunjian Zheng, Pengtao Shao, Bo Yu, Shaoshan Liu, Jianan Wang, Ning Ding, Yang Cao, Yu Kang Context Learning for Multi-Agent Discussion
Xingyuan Hua, Sheng Yue, Xinyi Li, Yizhe Zhao, Jinrui Zhang, Ju Ren Context Tokens Are Anchors: Understanding the Repeat Curse in dMLLMs from an Information Flow Perspective
Qiyan Zhao, Xiaofeng Zhang, Shuochen Chang, Qianyu Chen, Xiaosong Yuan, Xuhang Chen, Luoqi Liu, Jiajun Zhang, Xu-Yao Zhang, Da-Han Wang ContextBench: Modifying Contexts for Targeted Latent Activation and Behaviour Elicitation
Robert Graham, Edward Stevinson, Leo Richter, Alexander Chia, Joseph Miller, Joseph Isaac Bloom ContextNav: Towards Agentic Multimodal In-Context Learning
Honghao Fu, Yuan Ouyang, Kai-Wei Chang, Yiwei Wang, Zi Huang, Yujun Cai ContextPRM: Leveraging Contextual Coherence for Multi-Domain Test-Time Scaling
Haotian Zhang, Liu Liu, Baosheng Yu, Jiayan Qiu, Likang Xiao, Yanwei Ren, Quan Chen, Xianglong Liu Contextual and Seasonal LSTMs for Time Series Anomaly Detection
Lingpei Zhang, Qingming Li, Yong Yang, Jiahao Chen, Rui Zeng, Chenyang Lyu, Shouling Ji Contextual Causal Bayesian Optimisation
Vahan Arsenyan, Antoine Grosnit, Haitham Bou Ammar, Arnak S. Dalalyan Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model
Moritz Akiya Zanger, Pascal R. Van der Vaart, Wendelin Boehmer, Matthijs T. J. Spaan Continual Low-Rank Adapters for LLM-Based Generative Recommender Systems
Hyunsik Yoo, Ting-Wei Li, SeongKu Kang, Zhining Liu, Charlie Xu, Qilin Qi, Hanghang Tong Continuous Audio Language Models
Simon Rouard, Manu Orsini, Axel Roebel, Neil Zeghidour, Alexandre Défossez Continuous Chain of Thought Enables Parallel Exploration and Reasoning
Halil Alperen Gozeten, Muhammed Emrullah Ildiz, Xuechen Zhang, Hrayr Harutyunyan, Ankit Singh Rawat, Samet Oymak Continuous Space-Time Video Super-Resolution with 3D Fourier Fields
Alexander Becker, Julius Erbach, Dominik Narnhofer, Konrad Schindler Continuously Augmented Discrete Diffusion Model for Categorical Generative Modeling
Huangjie Zheng, Shansan Gong, Ruixiang Zhang, Tianrong Chen, Jiatao Gu, Mingyuan Zhou, Navdeep Jaitly, Yizhe Zhang Contractive Diffusion Policies
Amin Abyaneh, Charlotte Morissette, Mohamad H. Danesh, Anas Houssaini, David Meger, Gregory Dudek, Hsiu-Chin Lin Contrastive Diffusion Guidance for Spatial Inverse Problems
Sattwik Basu, Chaitanya Amballa, Zhongweiyang Xu, Jorge Vančo Sampedro, Srihari Nelakuditi, Romit Roy Choudhury Control Tax: The Price of Keeping AI in Check
Mikhail Terekhov, Zhen Ning David Liu, Caglar Gulcehre, Samuel Albanie Controllable Logical Hypothesis Generation for Abductive Reasoning in Knowledge Graphs
Yisen Gao, Jiaxin Bai, Tianshi Zheng, Ziwei Zhang, Qingyun Sun, Xingcheng Fu, Jianxin Li, Yangqiu Song Controllable Sequence Editing for Biological and Clinical Trajectories
Michelle M Li, Kevin Li, Yasha Ektefaie, Ying Jin, Yepeng Huang, Shvat Messica, Tianxi Cai, Marinka Zitnik Controllable Video Generation with Provable Disentanglement
Yifan Shen, Peiyuan Zhu, Zijian Li, Shaoan Xie, Namrata Deka, Zongfang Liu, Zeyu Tang, Guangyi Chen, Kun Zhang Convergence of Regret Matching in Potential Games and Constrained Optimization
Ioannis Anagnostides, Emanuel Tewolde, Brian Hu Zhang, Ioannis Panageas, Vincent Conitzer, Tuomas Sandholm Convex Efficient Coding
Will Dorrell, Peter E. Latham, James C. R. Whittington Cooperative Sheaf Neural Networks
André Ribeiro, Ana Luiza Tenorio, Juan Belieni, Amauri H Souza, Diego Mesquita Copy-Paste to Mitigate Large Language Model Hallucinations
Yongchao Long, Yingying Zhang, Xianbin Wen, Xian Wu, Yuxi Zhou, Shenda Hong CORDS - Continuous Representations of Discrete Structures
Tin Hadži Veljković, Erik J Bekkers, Michael Tiemann, Jan-Willem van de Meent Correlated Policy Optimization in Multi-Agent Subteams
Dingyang Chen, Jianing Ye, Zhenyu Zhang, Xiaolong Kuang, Xinyang Shen, Ozalp Ozer, Chongjie Zhang, Qi Zhang COSMO-INR: Complex Sinusoidal Modulation for Implicit Neural Representations
Pandula Thennakoon, Avishka Ranasinghe, Mario De Silva, Buwaneka Epakanda, Roshan Godaliyadda, Mervyn Parakrama Bandara Ekanayake, Vijitha R. Herath Cosmos Policy: Fine-Tuning Video Models for Visuomotor Control and Planning
Moo Jin Kim, Yihuai Gao, Tsung-Yi Lin, Yen-Chen Lin, Yunhao Ge, Grace Lam, Percy Liang, Shuran Song, Ming-Yu Liu, Chelsea Finn, Jinwei Gu COSMOS: A Hybrid Adaptive Optimizer for Efficient Training of Large Language Models
Liming Liu, Zhenghao Xu, Zixuan Zhang, Hao Kang, Zichong Li, Chen Liang, Weizhu Chen, Tuo Zhao Cost-of-Pass: An Economic Framework for Evaluating Language Models
Mehmet Hamza Erol, Batu El, Mirac Suzgun, Mert Yuksekgonul, James Zou Count Bridges Enable Modeling and Deconvolving Transcriptomic Data
Nic Fishman, Gokul Gowri, Tanush Kumar, Jiaqi Lu, Valentin De Bortoli, Jonathan S. Gootenberg, Omar Abudayyeh Count Counts: Motivating Exploration in LLM Reasoning with Count-Based Intrinsic Rewards
Xuan Zhang, Ruixiao Li, Zhijian Zhou, Long Li, Yulei Qin, Ke Li, Xing Sun, Xiaoyu Tan, Chao Qu, Yuan Qi Counterfactual Explanations on Robust Perceptual Geodesics
Eslam Zaher, Dr Maciej Trzaskowski, Quan Nguyen, Fred Roosta Coupled Transformer Autoencoder for Disentangling Multi-Region Neural Latent Dynamics
Ram Dyuthi Sristi, Sowmya Manojna Narasimha, Jingya Huang, Alice Despatin, Simon Musall, Vikash Gilja, Gal Mishne CreatiDesign: A Unified Multi-Conditional Diffusion Transformer for Creative Graphic Design
Hui Zhang, Dexiang Hong, Maoke Yang, Yutao Cheng, Zhao Zhang, Weidong Chen, Jie Shao, Xinglong Wu, Zuxuan Wu, Yu-Gang Jiang CREPE: Controlling Diffusion with REPlica Exchange
Jiajun He, Paul Jeha, Peter Potaptchik, Leo Zhang, José Miguel Hernández-Lobato, Yuanqi Du, Saifuddin Syed, Francisco Vargas Critical Attention Scaling in Long-Context Transformers
Shi Chen, Zhengjiang Lin, Yury Polyanskiy, Philippe Rigollet Critique-RL: Training Language Models for Critiquing Through Two-Stage Reinforcement Learning
Zhiheng Xi, Jixuan Huang, Xin Guo, Boyang Hong, Dingwen Yang, Xiaoran Fan, Shuo Li, Zehui Chen, Junjie Ye, Siyu Yuan, Zhengyin Du, Xuesong Yao, Yufei Xu, Jiecao Chen, Rui Zheng, Tao Gui, Qi Zhang, Xuanjing Huang CRONOS: Continuous Time Reconstruction for 4D Medical Longitudinal Series
Nico Disch, Saikat Roy, Constantin Ulrich, Yannick Kirchhoff, Maximilian Rouven Rokuss, Robin Peretzke, David Zimmerer, Klaus Maier-Hein CSRv2: Unlocking Ultra-Sparse Embeddings
Lixuan Guo, Yifei Wang, Tiansheng Wen, Yifan Wang, Aosong Feng, Bo Chen, Stefanie Jegelka, Chenyu You CTBench: Cryptocurrency Time Series Generation Benchmark
Yihao Ang, Qiang Wang, Qiang Huang, Yifan Bao, Xinyu Xi, Anthony Kum Hoe Tung, Chen Jin, Zhiyong Huang CTC-DRO: Robust Optimization for Reducing Language Disparities in Speech Recognition
Martijn Bartelds, Ananjan Nandi, Moussa Koulako Bala Doumbouya, Dan Jurafsky, Tatsunori Hashimoto, Karen Livescu CTRL&SHIFT: High-Quality Geometry-Aware Object Manipulation in Visual Generation
Penghui Ruan, Bojia Zi, Xianbiao Qi, Youze Huang, Rong Xiao, Pichao Wang, Jiannong Cao, Yuhui Shi CubeBench: Diagnosing Interactive, Long-Horizon Physical Intelligence Under Partial Observations
Huan-ang Gao, Zikang Zhang, Tianwei Luo, Kaisen Yang, Xinzhe Juan, Jiahao Qiu, Tianxing Chen, Bingxiang He, Hao Zhao, Hao Zhou, Shilong Liu, Mengdi Wang Cultivating Pluralism in Algorithmic Monoculture: The Community Alignment Dataset
Lily H Zhang, Smitha Milli, Karen Long Jusko, Jonathan Smith, Brandon Amos, Wassim Bouaziz, Manon Revel, Jack Kussman, Yasha Sheynin, Lisa Titus, Bhaktipriya Radharapu, Jane Yu, Vidya Sarma, Kristopher Rose, Maximilian Nickel CurES: From Gradient Analysis to Efficient Curriculum Learning for Reasoning LLMs
Yongcheng Zeng, Zexu Sun, Bokai Ji, Erxue Min, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Haifeng Zhang, Xu Chen, Jun Wang Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning
Shubham Parashar, Shurui Gui, Xiner Li, Hongyi Ling, Sushil Vemuri, Blake Olson, Eric Li, Yu Zhang, James Caverlee, Dileep Kalathil, Shuiwang Ji Cutting the Skip: Training Residual-Free Transformers
Yiping Ji, James Martens, Jianqiao Zheng, Ziqin Zhou, Peyman Moghadam, Xinyu Zhang, Hemanth Saratchandran, Simon Lucey Cyber-Zero: Training Cybersecurity Agents Without Runtime
Terry Yue Zhuo, Dingmin Wang, Hantian Ding, Varun Kumar, Zijian Wang D-REX: Differentiable Real-to-Sim-to-Real Engine for Learning Dexterous Grasping
Haozhe Lou, Mingtong Zhang, Haoran Geng, Hanyang Zhou, Sicheng He, Zhiyuan Gao, Siheng Zhao, Jiageng Mao, Pieter Abbeel, Jitendra Malik, Daniel Seita, Yue Wang d$^2$Cache: Accelerating Diffusion-Based LLMs via Dual Adaptive Caching
Yuchu Jiang, Yue Cai, Xiangzhong Luo, Jiale Fu, Jiarui Wang, Chonghan Liu, Xu Yang D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI
Suhwan Choi, Jaeyoon Jung, Haebin Seong, Minchan Kim, Minyeong Kim, Yongjun Cho, Yoonshik Kim, Park Yu Been, Youngjae Yu, Yunsung Lee DA$^{2}$: Depth Anything in Any Direction
Haodong Li, Wangguandong Zheng, Jing He, Yuhao Liu, Xin Lin, Xin Yang, Ying-Cong Chen, Chunchao Guo DAComp: Benchmarking Data Agents Across the Full Data Intelligence Lifecycle
Fangyu Lei, Jinxiang Meng, Yiming Huang, Junjie Zhao, Yitong Zhang, Jianwen Luo, Xin Zou, Ruiyi Yang, Wenbo Shi, Yan Gao, Shizhu He, Jun Zhao, Zuo Wang, Qian Liu, Yang Wang, Wang Ke, Kang Liu DADA: Dual Averaging with Distance Adaptation
Mohammad Moshtaghifar, Anton Rodomanov, Daniil Vankov, Sebastian U Stich DAG-Math: Graph-of-Thought Guided Mathematical Reasoning in LLMs
Yuanhe Zhang, Ilja Kuzborskij, Jason D. Lee, Chenlei Leng, Fanghui Liu DanceTogether: Generating Interactive Multi-Person Video Without Identity Drifting
Junhao Chen, Mingjin Chen, Jianjin Xu, Xiang Li, Junting Dong, Mingze Sun, Puhua Jiang, Hongxiang Li, Yuhang Yang, Hao Zhao, Xiao-Xiao Long, Ruqi Huang Darwin Gödel Machine: Open-Ended Evolution of Self-Improving Agents
Jenny Zhang, Shengran Hu, Cong Lu, Robert Tjarko Lange, Jeff Clune Data Provenance for Image Auto-Regressive Generation
Bihe Zhao, Louis Kerner, Michel Meintz, Tameem Bakr, Franziska Boenisch, Adam Dziedzic Data Selection for LLM Alignment Using Fine-Grained Preferences
Jia Zhang, Yao Liu, Chen-Xi Zhang, Yi Liu, Yi-Xuan Jin, Lan-Zhe Guo, Yu-Feng Li Data-Aware and Scalable Sensitivity Analysis for Decision Tree Ensembles
Namrita Varshney, Ashutosh Gupta, Arhaan Ahmad, Tanay Vineet Tayal, S. Akshay Data-Centric Lessons to Improve Speech-Language Pretraining
Vishaal Udandarao, Zhiyun Lu, Xuankai Chang, Yongqiang Wang, Albin Madappally Jose, Fartash Faghri, Joshua P Gardner, Chung-Cheng Chiu Data-to-Energy Stochastic Dynamics
Kirill Tamogashev, Nikolay Malkin Dataless Weight Disentanglement in Task Arithmetic via Kronecker-Factored Approximate Curvature
Angelo Porrello, Pietro Buzzega, Felix Dangel, Thomas Sommariva, Riccardo Salami, Lorenzo Bonicelli, Simone Calderara DataMIL: Selecting Data for Robot Imitation Learning with Datamodels
Shivin Dass, Alaa Khaddaj, Logan Engstrom, Aleksander Madry, Andrew Ilyas, Roberto Martín-Martín DAVE: A VLM Vision Encoder for Document Understanding and Web Agents
Brandon Huang, Hang Hua, Zhuoran Yu, Trevor Darrell, Rogerio Feris, Roei Herzig DCFold: Efficient Protein Structure Generation with Single Forward Pass
Zhe Zhang, Yuanning Feng, Yuxuan Song, Keyue Qiu, Hao Zhou, Wei-Ying Ma DeCo-DETR: Decoupled Cognition DETR for Efficient Open-Vocabulary Object Detection
Siheng Wang, Yanshu Li, Bohan Hu, Zhengdao Li, HaiboZhan, Linshan Li, Weiming Liu, Ruizhi Qian, Guangxin Wu, Hao Zhang, Jifeng Shen, Piotr Koniusz, Zhengtao Yao, Junhao Dong, Qiang Sun Decomposing LLM Computation with Jets
Yihong Chen, Xiangxiang Xu, Pontus Stenetorp, Sebastian Riedel, Luca Franceschi Decomposition of Concept-Level Rules in Visual Scenes
Fan Shi, Yuxuan Liang, Xiaolei Chen, Haiyang Yu, Xu Li, Yi Zheng, Rui Zhu, Xiangyang Xue, Bin Li Decoupled DMD: CFG Augmentation as the Spear, Distribution Matching as the Shield
Dongyang Liu, Peng Gao, David Liu, Ruoyi Du, Zhen Li, Qilong Wu, Xin Jin, Sihan Cao, Shifeng Zhang, Steven Hoi, Hongsheng Li Decoupled Q-Chunking
Qiyang Li, Seohong Park, Sergey Levine Decoupling Dynamical Richness from Representation Learning: Towards Practical Measurement
Yoonsoo Nam, Nayara Fonseca, Seok Hyeong Lee, Chris Mingard, Niclas Alexander Göring, Ouns El Harzli, Abdurrahman Hadi Erturk, Soufiane Hayou, Ard A. Louis Decoupling Positional and Symbolic Attention in Transformers
Felipe Urrutia, Jorge Salas, Alexander Kozachinskiy, Cristian Buc Calderon, Hector Pasten, Cristobal Rojas Decoupling the Class Label and the Target Concept in Machine Unlearning
Jianing Zhu, Bo Han, Jiangchao Yao, Jianliang Xu, Gang Niu, Masashi Sugiyama Deep FlexQP: Accelerated Nonlinear Programming via Deep Unfolding
Alex Oshin, Rahul Vodeb Ghosh, Augustinos D Saravanos, Evangelos Theodorou Deep Ignorance: Filtering Pretraining Data Builds Tamper-Resistant Safeguards into Open-Weight LLMs
Kyle O'Brien, Stephen Casper, Quentin Gregory Anthony, Tomek Korbak, Robert Kirk, Xander Davies, Ishan Mishra, Geoffrey Irving, Yarin Gal, Stella Biderman Deep Learning for Subspace Regression
Vladimir Fanaskov, Vladislav Trifonov, Alexander Rudikov, Ekaterina Muravleva, Ivan Oseledets Deep Think with Confidence
Yichao Fu, Xuewei Wang, Hao Zhang, Yuandong Tian, Jiawei Zhao DeepAFL: Deep Analytic Federated Learning
Jianheng Tang, Yajiang Huang, Kejia Fan, Feijiang Han, Jiaxu Li, Jinfeng Xu, Run He, Anfeng Liu, Houbing Herbert Song, Huiping Zhuang, Yunhuai Liu DeepEyes: Incentivizing "Thinking with Images" via Reinforcement Learning
Ziwei Zheng, Michael Yang, Jack Hong, Chenxiao Zhao, Guohai Xu, Le Yang, Chao Shen, XingYu DeepEyesV2: Toward Agentic Multimodal Model
Jack Hong, Chenxiao Zhao, ChengLIn Zhu, Weiheng Lu, Guohai Xu, XingYu DeepMath-103k: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning
Zhiwei He, Tian Liang, Jiahao Xu, Qiuzhi Liu, Xingyu Chen, Yue Wang, Linfeng Song, Dian Yu, Zhenwen Liang, Wenxuan Wang, Zhuosheng Zhang, Rui Wang, Zhaopeng Tu, Haitao Mi, Dong Yu DeepRAG: Thinking to Retrieve Step by Step for Large Language Models
Xinyan Guan, Jiali Zeng, Fandong Meng, Chunlei Xin, Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun, Jie Zhou DeepResearch Bench: A Comprehensive Benchmark for Deep Research Agents
Mingxuan Du, Benfeng Xu, Chiwei Zhu, Licheng Zhang, Xiaorui Wang, Zhendong Mao DeepScientist: Advancing Frontier-Pushing Scientific Findings Progressively
Yixuan Weng, Minjun Zhu, Qiujie Xie, QiYao Sun, Zhen Lin, Sifan Liu, Yue Zhang DeepWeightFlow: Re-Basined Flow Matching for Generating Neural Network Weights
Saumya Gupta, Scott Biggs, Moritz Laber, Zohair Shafi, Robin Walters, Ayan Paul Defending Against Backdoor Attacks via Module Switching
Weijun Li, Ansh Arora, Xuanli He, Mark Dras, Qiongkai Xu Deforming Videos to Masks: Flow Matching for Referring Video Segmentation
Zanyi Wang, Dengyang Jiang, Liuzhuozheng Li, Sizhe Dang, Chengzu Li, Harry Yang, Guang Dai, Mengmeng Wang, Jingdong Wang Delay Flow Matching
Bolin Zhao, Xiaoyu Zhang, Yuting Dong, Xin Lu, Wei Lin, Qunxi Zhu DeLiVR: Differential Spatiotemporal Lie Bias for Efficient Video Deraining
Shuning Sun, Jialang Lu, Xiang Chen, Jichao Wang, Dianjie Lu, Guijuan Zhang, Guangwei Gao, Zhuoran Zheng DeMo: Decoupled Momentum Optimization
Bowen Peng, Lizhang Chen, Baiyu Su, Jeffrey Quesnelle, Diederik P Kingma, Qiang Liu DemoGrasp: Universal Dexterous Grasping from a Single Demonstration
Haoqi Yuan, Ziye Huang, Ye Wang, Chuan Mao, Chaoyi Xu, Zongqing Lu Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents
Tiannuo Yang, Zebin Yao, Bowen Jin, Lixiao Cui, Yusen Li, Gang Wang, Xiaoguang Liu, Willie Neiswanger Demystifying Robot Diffusion Policies: Action Memorization and a Simple Lookup Table Alternative
Chengyang He, Xu Liu, Gadiel Mark Sznaier Camps, Joseph Bruno, Guillaume Adrien Sartoretti, Mac Schwager Demystifying the Mechanisms Behind Emergent Exploration in Goal-Conditioned RL
Mahsa Bastankhah, Grace Liu, Dilip Arumugam, Thomas L. Griffiths, Benjamin Eysenbach Denoising Neural Reranker for Recommender Systems
Wenyu Mao, Shuchang Liu, HailanYang, Xiaobei Wang, Xiaoyu Yang, Xu Gao, Xiang Li, Lantao Hu, Han Li, Kun Gai, An Zhang, Xiang Wang DeNOTS: Stable Deep Neural ODEs for Time Series
Ilya Kuleshov, Evgenia Romanenkova, Vladislav Andreevich Zhuzhel, Galina Boeva, Evgeni Vorsin, Alexey Zaytsev Dens3R: A Foundation Model for 3D Geometry Prediction
Xianze Fang, Jingnan Gao, Zhe Wang, Zhuo Chen, Xingyu Ren, Jiangjing Lyu, Qiao-Mu Ren, Zhonglei Yang, Xiaokang Yang, Yichao Yan, Chengfei Lv DenseGRPO: From Sparse to Dense Reward for Flow Matching Model Alignment
Haoyou Deng, Keyu Yan, Chaojie Mao, Xiang Wang, Yu Liu, Changxin Gao, Nong Sang Depth Anything 3: Recovering the Visual Space from Any Views
Haotong Lin, Sili Chen, Jun Hao Liew, Donny Y. Chen, Zhenyu Li, Yang Zhao, Sida Peng, Hengkai Guo, Xiaowei Zhou, Guang Shi, Jiashi Feng, Bingyi Kang Depth Anything with Any Prior
Zehan Wang, Siyu Chen, Lihe Yang, Jialei Wang, Ziang Zhang, Hengshuang Zhao, Zhou Zhao DepthLM: Metric Depth from Vision Language Models
Zhipeng Cai, Ching-Feng Yeh, Hu Xu, Zhuang Liu, Gregory P. Meyer, Xinjie Lei, Changsheng Zhao, Shang-Wen Li, Vikas Chandra, Yangyang Shi DeRaDiff: Denoising Time Realignment of Diffusion Models
Ratnavibusena Don Shahain Manujith, Teoh Tze Tzun, Kenji Kawaguchi, Yang Zhang DES-LOC: Desynced Low Communication Adaptive Optimizers for Foundation Models
Alex Iacob, Lorenzo Sani, Mher Safaryan, Paris Giampouras, Samuel Horváth, Andrej Jovanovic, Meghdad Kurmanji, Preslav Aleksandrov, William F. Shen, Xinchi Qiu, Nicholas D. Lane DESIGNER: Design-Logic-Guided Multidisciplinary Data Synthesis for LLM Reasoning
Weize Liu, Yongchi Zhao, Yijia Luo, Mingyu Xu, Jiaheng Liu, Yanan Li, Xiguo Hu, ZhiqiBai, Yuchi Xu, Wenbo Su, Bo Zheng Designing Rules to Pick a Rule: Aggregation by Consistency
Ratip Emin Berker, Ben Armstrong, Vincent Conitzer, Nihar B Shah Detecting Data Contamination in LLMs via In-Context Learning
Michał Zawalski, Meriem Boubdir, Klaudia Bałazy, Besmira Nushi, Pablo Ribalta Detecting Invariant Manifolds in ReLU-Based RNNs
Lukas Eisenmann, Alena Brändle, Zahra Monfared, Daniel Durstewitz Detecting Temporal Misalignment Attacks in Multimodal Fusion for Autonomous Driving
Md Hasan Shahriar, Md Mohaimin Al Barat, Harshavardhan Sundar, Ning Zhang, Naren Ramakrishnan, Thomas Hou, Wenjing Lou Detective SAM: Adaptive AI-Image Forgery Localization
Gert Lek, Nicolas van Schaik, Chaoyi Zhu, Pin-Yu Chen, Robert Birke, Lydia Y. Chen DevOps-Gym: Benchmarking AI Agents in Software DevOps Cycle
Yuheng Tang, Kaijie Zhu, Bonan Ruan, Chuqi Zhang, Michael Yang, Hongwei Li, Suyue Guo, Tianneng Shi, Zekun Li, Christopher Kruegel, Giovanni Vigna, Dawn Song, William Yang Wang, Lun Wang, Yangruibo Ding, Zhenkai Liang, Wenbo Guo DiaBlo: Diagonal Blocks Are Sufficient for Finetuning
Selcuk Gurses, Aozhong Zhang, Yanxia Deng, Xun Dong, Xin Li, Naigang Wang, Penghang Yin, Zi Yang DiCache: Let Diffusion Model Determine Its Own Cache
Jiazi Bu, Pengyang Ling, Yujie Zhou, Yibin Wang, Yuhang Zang, Dahua Lin, Jiaqi Wang Dichotomous Diffusion Policy Optimization
Ruiming Liang, Yinan Zheng, Kexin Zheng, Tianyi Tan, Jianxiong Li, Liyuan Mao, Zhihao Wang, Guang Chen, Hangjun Ye, Jingjing Liu, Jinqiao Wang, Xianyuan Zhan Difference-Aware Retrieval Policies for Imitation Learning
Quinn Pfeifer, Ethan Pronovost, Paarth Shah, Khimya Khetarpal, Siddhartha Srinivasa, Abhishek Gupta Differentiable Lifting for Topological Neural Networks
Jorge Luiz Franco, Gabriel Duarte, Alexander V Nikitin, Moacir A Ponti, Diego Mesquita, Amauri H Souza Differentiable Model Predictive Control on the GPU
Emre Adabag, Marcus Greiff, John Subosits, Thomas Jonathan Lew Differentiable Simulation of Hard Contacts with Soft Gradients for Learning and Control
Anselm Paulus, Andreas René Geist, Pierre Schumacher, Vít Musil, Simon Rappenecker, Georg Martius Differential Fine-Tuning Large Language Models Towards Better Diverse Reasoning Abilities
Xiaosong Yuan, Chen Shen, Shaotian Yan, Kaiyuan Liu, Xiaofeng Zhang, Sinan Fan, Liang Xie, Wenxiao Wang, Renchu Guan, Ying Wang, Jieping Ye Differentially Private Domain Discovery
Vinod Raman, Travis Dick, Matthew Joseph DiffPBR: Point-Based Rendering via Spatial-Aware Residual Diffusion
Yiping Xie, Yuchi Huo, Yunlong Ran, Zijian Huang, Lincheng Li, Yingfeng Chen, Jiming Chen, Qi Ye DiffSDA: Unsupervised Diffusion Sequential Disentanglement Across Modalities
Hedi Zisling, Ilan Naiman, Nimrod Berman, Supasorn Suwajanakorn, Omri Azencot DiffSparse: Accelerating Diffusion Transformers with Learned Token Sparsity
Haowei Zhu, Ji Liu, Ziqiong Liu, Dong Li, Jun-Hai Yong, Bin Wang, Emad Barsoum DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation
Shansan Gong, Ruixiang Zhang, Huangjie Zheng, Jiatao Gu, Navdeep Jaitly, Lingpeng Kong, Yizhe Zhang DiffuGuard: How Intrinsic Safety Is Lost and Found in Diffusion Large Language Models
Zherui Li, Zheng Nie, Zhenhong Zhou, Yue Liu, Yitong Zhang, Yu Cheng, Qingsong Wen, Kun Wang, Yufei Guo, Jiaheng Zhang Diffusion & Adversarial Schrödinger Bridges via Iterative Proportional Markovian Fitting
Sergei Kholkin, Grigoriy Ksenofontov, David Li, Nikita Maksimovich Kornilov, Nikita Gushchin, Alexandra Suvorikova, Alexey Kroshnin, Evgeny Burnaev, Alexander Korotin Diffusion Alignment as Variational Expectation-Maximization
Jaewoo Lee, Minsu Kim, Sanghyeok Choi, Inhyuck Song, Sujin Yun, Hyeongyu Kang, Woocheol Shin, Taeyoung Yun, Kiyoung Om, Jinkyoo Park Diffusion Blend: Inference-Time Multi-Preference Alignment for Diffusion Models
Min Cheng, Fatemeh Doudi, Dileep Kalathil, Mohammad Ghavamzadeh, Panganamala Kumar Diffusion Language Model Knows the Answer Before It Decodes
Pengxiang Li, Yefan Zhou, Dilxat Muhtar, Lu Yin, Shilin Yan, Li Shen, Yi Liang, Soroush Vosoughi, Shiwei Liu Diffusion Models as Dataset Distillation Priors
Duo Su, Huyu Wu, Huanran Chen, Yiming Shi, Yuzhu Wang, Xi Ye, Jun Zhu Diffusion Negative Preference Optimization Made Simple
Joshua Tian Jin Tee, Hee Suk Yoon, Sunjae Yoon, Tri Ton, Chang D. Yoo DiffusionNFT: Online Diffusion Reinforcement with Forward Process
Kaiwen Zheng, Huayu Chen, Haotian Ye, Haoxiang Wang, Qinsheng Zhang, Kai Jiang, Hang Su, Stefano Ermon, Jun Zhu, Ming-Yu Liu DiffVax: Optimization-Free Image Immunization Against Diffusion-Based Editing
Tarik Can Ozden, Ozgur Kara, Oguzhan Akcin, Kerem Zaman, Shashank Srivastava, Sandeep P. Chinchali, James Matthew Rehg DiffWind: Physics-Informed Differentiable Modeling of Wind-Driven Object Dynamics
Yuanhang Lei, Boming Zhao, Zesong Yang, Xingxuan Li, Tao Cheng, Haocheng Peng, Ru Zhang, Yang Yang, Siyuan Huang, Yujun Shen, Ruizhen Hu, Hujun Bao, Zhaopeng Cui DiMeR: Disentangled Mesh Reconstruction Model with Normal-Only Geometry Training
Lutao Jiang, Jiantao Lin, Kanghao Chen, Wenhang Ge, Xin Yang, Yifan Jiang, Yuanhuiyi Lyu, Xu Zheng, Li Jing, Yinchuan Li, Ying-Cong Chen Direct Preference Optimization for Primitive-Enabled Hierarchical RL: A Bilevel Approach
Utsav Singh, Souradip Chakraborty, Wesley A. Suttle, Brian M. Sadler, Derrik E. Asher, Anit Kumar Sahu, Mubarak Shah, Vinay P. Namboodiri, Amrit Singh Bedi Directed Semi-Simplicial Learning with Applications to Brain Activity Decoding
Manuel Lecha, Andrea Cavallo, Francesca Dominici, Ran Levi, Alessio Del Bue, Elvin Isufi, Pietro Morerio, Claudio Battiloro Directional Sheaf Hypergraph Networks: Unifying Learning on Directed and Undirected Hypergraphs
Emanuele Mule, Stefano Fiorini, Antonio Purificato, Federico Siciliano, Stefano Coniglio, Fabrizio Silvestri DirMoE: Dirichlet-Routed Mixture of Experts
Amirhossein Vahidi, Hesam Asadollahzadeh, Navid Akhavan Attar, Marie Moullet, Kevin Ly, Xingyi Yang, Mohammad Lotfollahi Disco: Densely-Overlapping Cell Instance Segmentation via Adjacency-Aware Collaborative Coloring
Rui Sun, Yiwen Yang, Kaiyu Guo, Chen Jiang, Dongli Xu, Zhaonan Liu, Tan Pan, Limei Han, Xue Jiang, Wu Wei, Yuan Cheng Discovering Novel LLM Experts via Task-Capability Coevolution
Andrew Dai, Boris Meinardus, Ciaran Regan, Yingtao Tian, Yujin Tang DiscoX: Benchmarking Discourse-Level Translation in Expert Domains
Xiying Zhao, Zhoufutu Wen, Zhixuan Chen, Jingzhe Ding, Jianpeng Jiao, Shuai Li, Xi Li, Danni Liang, Shengda Long, Qianqian Liu, Xianbo Wu, Hongwan Gao, Xiang Gao, Liang Hu, Jiashuo Liu, Liumengyun, Weiran Shi, Chenghao Yang, Qianyu Yang, Xuanliang Zhang, Ge Zhang, Wenhao Huang Discrete Adjoint Matching
Oswin So, Brian Karrer, Chuchu Fan, Ricky T. Q. Chen, Guan-Horng Liu Discrete Bayesian Sample Inference for Graph Generation
Ole Petersen, Marcel Kollovieh, Marten Lienen, Stephan Günnemann Discrete Compositional Generation via General Soft Operators and Robust Reinforcement Learning
Marco Jiralerspong, Esther Derman, Danilo Vucetic, Nikolay Malkin, Bilun Sun, Tianyu Zhang, Pierre-Luc Bacon, Gauthier Gidel Discrete Diffusion for Bundle Construction
Teng Tu, Ai Li, Yunshan Ma, Shuo Xu, Xiaohao Liu, Haokai Ma, Liang Pang, Tat-Seng Chua Discrete Diffusion for Reflective Vision-Language-Action Models in Autonomous Driving
Pengxiang Li, Yinan Zheng, Yue Wang, Huimin Wang, Hang Zhao, Jingjing Liu, Xianyuan Zhan, Kun Zhan, XianPeng Lang Discrete Diffusion Trajectory Alignment via Stepwise Decomposition
Jiaqi Han, Austin Wang, Minkai Xu, Wenda Chu, Meihua Dang, Haotian Ye, Huayu Chen, Yisong Yue, Stefano Ermon Discrete Guidance Matching: Exact Guidance for Discrete Flow Matching
Zhengyan Wan, Yidong Ouyang, Liyan Xie, Fang Fang, Hongyuan Zha, Guang Cheng Discrete Variational Autoencoding via Policy Search
Michael Drolet, Firas Al-Hafez, Aditya Bhatt, Jan Peters, Oleg Arenz Disentangled Hierarchical VAE for 3D Human-Human Interaction Generation
Zichen Geng, Zeeshan Hayder, Bo Miao, Jian Liu, Wei Liu, Ajmal Saeed Mian Disentangling Knowledge Representations for Large Language Model Editing
Mengqi Zhang, Zisheng Zhou, Xiaotian Ye, Qiang Liu, Zhaochun Ren, Zhumin Chen, Pengjie Ren Disentangling the Factors of Convergence Between Brains and DINOv3
Joséphine Raugel, Marc Szafraniec, Huy V. Vo, Camille Couprie, Jérémy Rapin, Stéphane d'Ascoli, Patrick Labatut, Piotr Bojanowski, Valentin Wyart, Jean-Remi King DiSRouter: Distributed Self-Routing for LLM Selections
Hang Zheng, Hongshen Xu, Yongkai.lin, Shuai Fan, Lu Chen, Kai Yu Dissecting Representation Misalignment in Contrastive Learning via Influence Function
Huanyi Xie, Chenyang Ren, Khouloud Saadi, Shu Yang, Zhen Tan, Jingfeng Zhang, Lijie Hu, Di Wang DisTaC: Conditioning Task Vectors via Distillation for Robust Model Merging
Kotaro Yoshida, Yuji Naraki, Takafumi Horie, Ryotaro Shimizu, Ioannis Mitliagkas, Hiroki Naganuma DistDF: Time-Series Forecasting Needs Joint-Distribution Wasserstein Alignment
Eric Wang, Licheng Pan, Yuan Lu, Zhixuan Chu, Xiaoxi Li, Shuting He, Zi Ciu Chan, Qingsong Wen, Haoxuan Li, Zhouchen Lin Distillation of Large Language Models via Concrete Score Matching
Yeongmin Kim, Donghyeok Shin, Mina Kang, Byeonghu Na, Il-chul Moon Distilling Causal Signals for One-Shot Directed Evolution of Antibodies
Sai Pooja Mahajan, Natasa Tagasovska, Stefania Vasilaki, Arian Rokkum Jamasb, Andrew Martin Watkins, Rajesh Ranganath Distilling to Hybrid Attention Models via KL-Guided Layer Selection
Yanhong Li, Songlin Yang, Shawn Tan, Mayank Mishra, Rameswar Panda, Jiawei Zhou, Yoon Kim DistillKac: Few-Step Image Generation via Damped Wave Equations
Weiqiao Han, Chenlin Meng, Christopher D Manning, Stefano Ermon Distributed Algorithms for Euclidean Clustering
Vincent Cohen-Addad, Liudeng Wang, David Woodruff, Samson Zhou Distribution-Informed Online Conformal Prediction
Dongjian Hu, Junxi Wu, Shu-Tao Xia, Changliang Zou Distributional Vision-Language Alignment by Cauchy-Schwarz Divergence
Wenzhe Yin, Zehao Xiao, Pan Zhou, Shujian Yu, Jiayi Shen, Jan-Jakob Sonke, Stratis Gavves DIVA-GRPO: Enhancing Multimodal Reasoning Through Difficulty-Adaptive Variant Advantage
Haowen Gao, Zhenyu Zhang, Liang Pang, Fangda Guo, Douhongjian, Guannan Lv, ShaoGuo Liu, Tingting Gao, Huawei Shen, Xueqi Cheng Diverse Dictionary Learning
Yujia Zheng, Zijian Li, Shunxing Fan, Andrew Gordon Wilson, Kun Zhang DIVERSE: Disagreement-Inducing Vector Evolution for Rashomon Set Exploration
Gilles Eerlings, Brent Zoomers, Jori Liesenborgs, Gustavo Rovelo Ruiz, Kris Luyten Diversity-Enhanced Reasoning for Subjective Questions
Yumeng Wang, Zhiyuan Fan, Jiayu Liu, Jen-tse Huang, Yi R. Fung Diversity-Incentivized Exploration for Versatile Reasoning
Zican Hu, Shilin Zhang, Yafu Li, Jianhao Yan, Xuyang Hu, Leyang Cui, Xiaoye Qu, Chunlin Chen, Yu Cheng, Zhi Wang DMAP: A Distribution mAP for Text
Tom Kempton, Julia Rozanova, Parameswaran Kamalaruban, Maeve Madigan, Karolina Wresilo, Yoann Launay, David Sutton, Stuart Burrell DND: Boosting Large Language Models with Dynamic Nested Depth
Tieyuan Chen, Xiaodong Chen, Haoxing Chen, Zhenzhong Lan, Weiyao Lin, Jianguo Li DNT: A Deeply Normalized Transformer That Can Be Trained by Momentum SGD
Xianbiao Qi, Marco Chen, Wenjie Xiao, Jiaquan Ye, Yelin He, Chun-Guang Li, Zhouchen Lin Do 3D Large Language Models Really Understand 3D Spatial Relationships?
Xianzheng Ma, Tao Sun, Shuai Chen, Yash Sanjay Bhalgat, Jindong Gu, Angel X Chang, Iro Armeni, Iro Laina, Songyou Peng, Victor Adrian Prisacariu Do Not Let Low-Probability Tokens Over-Dominate in RL for LLMs
Zhihe Yang, Xufang Luo, Zilong Wang, Dongqi Han, Zhiyuan He, Dongsheng Li, Yunjian Xu Do Vision-Language Models Respect Contextual Integrity in Location Disclosure?
Ruixin Yang, Ethan Mendes, Arthur Wang, James Hays, Sauvik Das, Wei Xu, Alan Ritter Does FLUX Already Know How to Perform Physically Plausible Image Composition?
Shilin Lu, Zhuming Lian, Zihan Zhou, Shaocong Zhang, Chen Zhao, Adams Wai-Kin Kong Doloris: Dual Conditional Diffusion Implicit Bridges with Sparsity Masking Strategy for Unpaired Single-Cell Perturbation Estimation
Changxi Chi, Jun Xia, Yufei Huang, Zhuoli Ouyang, Cheng Tan, Yunfan Liu, Jingbo Zhou, Chang Yu, Liangyu Yuan, Siyuan Li, Zelin Zang, Stan Z. Li Don't Just Fine-Tune the Agent, Tune the Environment
Siyuan Lu, Zechuan Wang, Hongxuan Zhang, Qintong Wu, Leilei Gan, Chenyi Zhuang, Jinjie Gu, Tao Lin Don't Throw Away Your Beams: Improving Consistency-Based Uncertainties in LLMs via Beam Search
Ekaterina Fadeeva, Maiya Goloburda, Aleksandr Rubashevskii, Roman Vashurin, Artem Shelmanov, Preslav Nakov, Mrinmaya Sachan, Maxim Panov Don't Throw Away Your Pretrained Model
Shangbin Feng, Wenhao Yu, Yike Wang, Hongming Zhang, Yulia Tsvetkov, Dong Yu Don’t Pass@k: A Bayesian Framework for Large Language Model Evaluation
Mohsen Hariri, Amirhossein Samandar, Michael Hinczewski, Vipin Chaudhary DOPPLER: Dual-Policy Learning for Device Assignment in Asynchronous Dataflow Graphs
Xinyu Yao, Daniel Bourgeois, Abhinav Jain, Yuxin Tang, Jiawen Yao, Zhimin Ding, Arlei Silva, Chris Jermaine Doubly-Regressing Approach for Subgroup Fairness
Kunwoong Kim, Kyungseon Lee, Jihu Lee, Dongyoon Yang, Yongdai Kim DoVer: Intervention-Driven Auto Debugging for LLM Multi-Agent Systems
Ming Ma, Jue Zhang, Fangkai Yang, Yu Kang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang Doxing via the Lens: Revealing Location-Related Privacy Leakage on Multi-Modal Large Reasoning Models
Weidi Luo, Tianyu Lu, Qiming Zhang, Xiaogeng Liu, Bin Hu, Yue Zhao, Jieyu Zhao, Song Gao, Patrick McDaniel, Zhen Xiang, Chaowei Xiao DPad: Efficient Diffusion Language Models with Suffix Dropout
Xinhua Chen, Sitao Huang, Cong Guo, Chiyue Wei, Yintao He, Jianyi Zhang, Hai Helen Li, Yiran Chen dParallel: Learnable Parallel Decoding for dLLMs
Zigeng Chen, Gongfan Fang, Xinyin Ma, Ruonan Yu, Xinchao Wang DR-SAC: Distributionally Robust Soft Actor-Critic for Reinforcement Learning Under Uncertainty
Mingxuan Cui, Duo Zhou, Yuxuan Han, Grani A. Hanasusanto, Qiong Wang, Huan Zhang, Zhengyuan Zhou Dr.LLM: Dynamic Layer Routing in LLMs
Ahmed Heakl, Martin Gubri, Salman Khan, Sangdoo Yun, Seong Joon Oh Draft-Based Approximate Inference for LLMs
Kevin Galim, Ethan Ewer, Wonjun Kang, Minjae Lee, Hyung Il Koo, Kangwook Lee DragFlow: Unleashing DiT Priors with Region-Based Supervision for Drag Editing
Zihan Zhou, Shilin Lu, Shuli Leng, Shaocong Zhang, Zhuming Lian, Xinlei Yu, Adams Wai-Kin Kong DRAGON: Guard LLM Unlearning in Context via Negative Detection and Reasoning
Yaxuan Wang, Chris Yuhao Liu, Quan Liu, Jinlong Pang, Wei Wei, Yujia Bao, Yang Liu DRBench: A Realistic Benchmark for Enterprise Deep Research
Amirhossein Abaskohi, Tianyi Chen, Miguel Muñoz-Mármol, Curtis Fox, Amrutha Varshini Ramesh, Étienne Marcotte, Xing Han Lù, Nicolas Chapados, Spandana Gella, Christopher Pal, Alexandre Drouin, Issam H. Laradji DreamOn: Diffusion Language Models for Code Infilling Beyond Fixed-Size Canvas
Zirui Wu, Lin Zheng, Zhihui Xie, Jiacheng Ye, Jiahui Gao, Shansan Gong, Yansong Feng, Zhenguo Li, Wei Bi, Guorui Zhou, Lingpeng Kong DreamSwapV: Mask-Guided Subject Swapping for Any Customized Video Editing
Weitao Wang, Zichen Wang, Hongdeng Shen, Yulei Lu, Xirui Fan, Suhui Wu, Jun Zhang, Haoqian Wang, Hao Zhang DRIFT: Decompose, Retrieve, Illustrate, Then Formalize Theorems
Meiru Zhang, Philipp Borchert, Milan Gritta, Gerasimos Lampouras DRIFT: Learning from Abundant User Dissatisfaction in Real-World Preference Learning
Yifan Wang, Bolian Li, Junlin Wu, Zhaoxuan Tan, Zheli Liu, Ruqi Zhang, Ananth Grama, Qingkai Zeng DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving
Yingyan Li, Shuyao Shang, Weisong Liu, Bing Zhan, Haochen Wang, Yuqi Wang, Yuntao Chen, Xiaoman Wang, AnYasong, Chufeng Tang, Lu Hou, Lue Fan, Zhaoxiang Zhang Drugging the Undruggable: Benchmarking and Modeling Fragment-Based Screening
Haichuan Tan, Bowen Gao, Jiaxin Li, Yinjun Jia, Wenyu Zhu, Wenxuan Xie, Yihong Liu, Yanwen Huang, Jianhui Wang, Yuanhuan Mo, Ya-Qin Zhang, Wei-Ying Ma, Yanyan Lan DrugTrail: Interpretable Drug Discovery via Structured Reasoning and Druggability‑Tailored Preference Optimization
Yurou Liu, Mingyang Li, Xinyuan Zhu, Rui Jiao, Yiming Dong, Xinyu Tang, Yang Liu, Jieping Ye, Bing Su, Zheng Wang DrVoice: Parallel Speech-Text Voice Conversation Model via Dual-Resolution Speech Representations
Chao-Hong Tan, Qian Chen, Wen Wang, Chong Deng, Qinglin Zhang, Luyao Cheng, Hai Yu, Xin Zhang, Xiang Lyu, Tianyu Zhao, Chong Zhang, Yukun Ma, Yafeng Chen, Hui Wang, Jiaqing Liu, Xiangang Li, Jieping Ye DSA: Efficient Inference for Video Generation Models via Distributed Sparse Attention
Shenggui Li, Runyu Lu, Qiaoling Chen, Haiyan Yin, Yueming Lyu, Yonggang Wen, Ivor Tsang, Tianwei Zhang DTO-KD: Dynamic Trade-Off Optimization for Effective Knowledge Distillation
Zeeshan Hayder, Ali Cheraghian, Lars Petersson, Mehrtash Harandi, Richard Hartley Dual Distillation for Few-Shot Anomaly Detection
Le Dong, Qinzhong Tan, Chunlei Li, Jingliang Hu, Yilei Shi, Weisheng Dong, Xiao Xiang Zhu, Lichao Mou Dual Goal Representations
Seohong Park, Deepinder Mann, Sergey Levine Dual-Kernel Adapter: Expanding Spatial Horizons for Data-Constrained Medical Image Analysis
Ziquan Zhu, Hanruo Zhu, Si-Yuan Lu, Xiang Li, Yanda Meng, Yunxiao Zhang, Gaojie Jin, Lu Yin, Lijie Hu, Di Wang, Lu Liu, Tianjin Huang Dual-Objective Reinforcement Learning with Novel Hamilton-Jacobi-Bellman Formulations
William Sharpless, Dylan Hirsch, Sander Tonkens, Nikhil Uday Shinde, Sylvia Lee Herbert Dual-Path Condition Alignment for Diffusion Transformers
Changhao Peng, Yuqi Ye, Shuangjun Du, Wenxu Gao, Wei Gao Dual-Robust Cross-Domain Offline Reinforcement Learning Against Dynamics Shifts
Zhongjian Qiao, Rui Yang, Jiafei Lyu, Xiu Li, Zhongxiang Dai, Zhuoran Yang, Siyang Gao, Shuang Qiu DualEdit: Mitigating Safety Fallback in LLM Backdoor Editing via Affirmation-Refusal Regulation
Houcheng Jiang, Zetong Zhao, Junfeng Fang, Haokai Ma, Ruipeng Wang, Xiang Wang, Xiangnan He, Yang Deng DualToken: Towards Unifying Visual Understanding and Generation with Dual Visual Vocabularies
Wei Song, Yuran Wang, Zijia Song, Yadong Li, Zenan Zhou, Long Chen, Xu Jhua, Jiaqi Wang, Kaicheng Yu DuPO: Enabling Reliable Self-Verification via Dual Preference Optimization
Shuaijie She, Yu Bao, Yu Lu, Lu Xu, Tao Li, Wenhao Zhu, Jianbing Zhang, Shujian Huang, Shanbo Cheng, Lu Lu, Yuxuan Wang DVD-Quant: Data-Free Video Diffusion Transformers Quantization
Zhiteng Li, Hanxuan Li, Junyi Wu, Kai Liu, Haotong Qin, Linghe Kong, Guihai Chen, Yulun Zhang, Xiaokang Yang Dyna-Mind: Learning to Simulate from Experience for Better AI Agents
Xiao Yu, Baolin Peng, Michel Galley, Hao Cheng, Qianhui Wu, Janardhan Kulkarni, Suman Nath, Zhou Yu, Jianfeng Gao DynaGuard: A Dynamic Guardian Model with User-Defined Policies
Monte Hoover, Vatsal Baherwani, Neel Jain, Khalid Saifullah, Joseph James Vincent, Chirag Jain, Melissa Kazemi Rad, C. Bayan Bruss, Ashwinee Panda, Tom Goldstein Dynamic Classifier-Free Diffusion Guidance via Online Feedback
Pinelopi Papalampidi, Olivia Wiles, Ira Ktena, Aleksandar Shtedritski, Emanuele Bugliarello, Ivana Kajic, Isabela Albuquerque, Aida Nematzadeh Dynamic Early Exit in Reasoning Models
Chenxu Yang, Qingyi Si, Yongjie Duan, Zheliang Zhu, Chenyu Zhu, Qiaowei Li, Minghui Chen, Zheng Lin, Weiping Wang Dynamic Novel View Synthesis in High Dynamic Range
Kaixuan Zhang, Zhipeng Xiong, Minxian Li, Mingwu Ren, Jiankang Deng, Xiatian Zhu Dynamic Reflections: Probing Video Representations with Text Alignment
Maks Ovsjanikov, Viorica Patraucean, Leonidas Guibas, Tyler Zhu, Tengda Han Dynamic Speculative Agent Planning
Yilin Guan, Qingfeng Lan, Fei Sun, Dujian Ding, Devang Acharya, Chi Wang, William Yang Wang, Wenyue Hua Dynamical Properties of Dense Associative Memory
Kazushi Mimura, Junichi Takeuchi, Yuto Sumikawa, Yoshiyuki Kabashima, Anthony CC Coolen Dyslexify: A Mechanistic Defense Against Typographic Attacks in CLIP
Lorenz Hufe, Constantin Venhoff, Erblina Purelku, Maximilian Dreyer, Sebastian Lapuschkin, Wojciech Samek E3: Learning to Explore Enables Extrapolation of Test-Time Compute for LLMs
Amrith Setlur, Matthew Y. R. Yang, Charlie Victor Snell, Jeremiah Greer, Ian Wu, Virginia Smith, Max Simchowitz, Aviral Kumar EA3D: Event-Augmented 3D Diffusion for Generalizable Novel View Synthesis
Wangbo Yu, Chaoran Feng, Jianing Li, Aofan Zhang, Zhenyu Tang, Mingyi Guo, Wei Zhang, Zhengyu Ma, Li Yuan, Yonghong Tian Early Signs of Steganographic Capabilities in Frontier LLMs
Artur Zolkowski, Kei Nishimura-Gasparian, Robert McCarthy, Roland S. Zimmermann, David Lindner Earth-Agent: Unlocking the Full Landscape of Earth Observation with Agents
Peilin Feng, Zhutao Lv, Junyan Ye, Xiaolei Wang, Xinjie Huo, Jinhua Yu, Wanghan Xu, Wenlong Zhang, Lei Bai, Conghui He, Weijia Li Easier Painting than Thinking: Can Text-to-Image Models Set the Stage, but Not Direct the Play?
Ouxiang Li, Yuan Wang, Xinting Hu, Huijuan Huang, Rui Chen, Jiarong Ou, Xin Tao, Pengfei Wan, Xiaojuan Qi, Fuli Feng EasyCreator: Empowering 4D Creation Through Video Inpainting
Yue Ma, Kunyu Feng, Xinhua Zhang, Hongyu Liu, David Junhao Zhang, Jinbo Xing, Yinhan Zhang, Xiangpeng Yang, Xinyu Wang, Zeyu Wang, Qifeng Chen ECHO: Toward Contextual Seq2Seq Paradigms in Large EEG Models
Chenyu Liu, Yuqiu Deng, Tianyu Liu, Jinan Zhou, Xinliang Zhou, Ziyu Jia, Yi Ding Echo: Towards Advanced Audio Comprehension via Audio-Interleaved Reasoning
Daiqing Wu, Xuan Zhang, Dongbao Yang, Jiashu Yao, Longfei Chen, Qingsong Liu, Sicheng Zhao, Can Ma, Yangyang Kang, Yu Zhou EchoMind: An Interrelated Multi-Level Benchmark for Evaluating Empathetic Speech Language Models
Li Zhou, Lutong Yu, You Lyu, Yihang Lin, Zefeng Zhao, Junyi Ao, Yuhao Zhang, Benyou Wang, Haizhou Li EchoMotion: Unified Human Video and Motion Generation via Dual-Modality Diffusion Transformer
Yuxiao Yang, Hualian Sheng, Sijia Cai, Jing Lin, Jiahao Wang, Bing Deng, Junzhe Lu, Haoqian Wang, Jieping Ye EDINET-Bench: Evaluating LLMs on Complex Financial Tasks Using Japanese Financial Statements
Issa Sugiura, Takashi Ishida, Taro Makino, Chieko Tazuke, Takanori Nakagawa, Kosuke Nakago, David Ha Edit-Based Flow Matching for Temporal Point Processes
David Lüdke, Marten Lienen, Marcel Kollovieh, Stephan Günnemann EDIT-Bench: Evaluating LLM Abilities to Perform Real-World Instructed Code Edits
Wayne Chi, Valerie Chen, Ryan Shar, Aditya Mittal, Jenny Liang, Wei-Lin Chiang, Anastasios Nikolas Angelopoulos, Ion Stoica, Graham Neubig, Ameet Talwalkar, Chris Donahue EditLens: Quantifying the Extent of AI Editing in Text
Katherine Thai, Bradley Emi, Elyas Masrour, Mohit Iyyer EditScore: Unlocking Online RL for Image Editing via High-Fidelity Reward Modeling
Xin Luo, Jiahao Wang, Chenyuan Wu, Shitao Xiao, Xiyan Jiang, Defu Lian, Jiajun Zhang, Dong Liu, Zheng Liu EditVerse: Unifying Image and Video Editing and Generation with In-Context Learning
Xuan Ju, Tianyu Wang, Yuqian Zhou, He Zhang, Qing Liu, Nanxuan Zhao, Zhifei Zhang, Yijun Li, Yuanhao Cai, Shaoteng Liu, Daniil Pakhomov, Zhe Lin, Soo Ye Kim, Qiang Xu EdiVal-Agent: An Object-Centric Framework for Automated, Fine-Grained Evaluation of Multi-Turn Editing
Tianyu Chen, Yasi Zhang, Zhi Zhang, Peiyu Yu, Shu Wang, Zhendong Wang, Kevin Lin, Xiaofei Wang, Zhengyuan Yang, Linjie Li, Chung-Ching Lin, Jianwen Xie, Oscar Leong, Lijuan Wang, Ying Nian Wu, Mingyuan Zhou EEPO: Exploration-Enhanced Policy Optimization via Sample-Then-Forget
Liang Chen, Xueting Han, Qizhou Wang, Bo Han, Jing Bai, Hinrich Schuetze, Kam-Fai Wong Efficient Adversarial Attacks on High-Dimensional Offline Bandits
Seyed Mohammad Hadi Hosseini, Amir Najafi, Mahdieh Soleymani Baghshah Efficient Algorithms for Incremental Metric Bipartite Matching
Ritesh Seth, Mrinal Garg, Sujoy Bhore, Sharath Raghvendra, Syamantak Das Efficient and Sharp Off-Policy Learning Under Unobserved Confounding
Konstantin Hess, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel Efficient Autoregressive Inference for Transformer Probabilistic Models
Conor Hassan, Nasrulloh Ratu Bagus Satrio Loka, Cen-You Li, Daolang Huang, Paul Edmund Chang, Yang Yang, Francesco Silvestrin, Samuel Kaski, Luigi Acerbi Efficient Credal Prediction Through Decalibration
Paul Hofman, Timo Löhr, Maximilian Muschalik, Yusuf Sale, Eyke Hüllermeier Efficient Message-Passing Transformer for Error Correcting Codes
Seong-Joon Park, Taewoo Park, Hee-Youl Kwak, Sang-Hyo Kim, Yongjune Kim, Jong-Seon No Efficient Multimodal Spatial Reasoning via Dynamic and Asymmetric Routing
Yixian Shen, Qi Bi, Zihan Wang, Zhiheng Yang, Changshuo Wang, Zhi Zhang, Prayag Tiwari, Andy D. Pimentel, Anuj Pathania Efficient Quantization of Mixture-of-Experts with Theoretical Generalization Guarantees
Mohammed Nowaz Rabbani Chowdhury, Kaoutar El Maghraoui, Hsinyu Tsai, Naigang Wang, Geoffrey W. Burr, Liu Liu, Meng Wang Efficient Reasoning with Balanced Thinking
Yulin Li, Tengyao Tu, Li Ding, Junjie Wang, Hui-Ling Zhen, Yixin Chen, Yong Li, Zhuotao Tian Efficient Regression-Based Training of Normalizing Flows for Boltzmann Generators
Danyal Rehman, Oscar Davis, Jiarui Lu, Jian Tang, Michael M. Bronstein, Yoshua Bengio, Alexander Tong, Joey Bose Efficient Reinforcement Learning by Guiding World Models with Non-Curated Data
Yi Zhao, Aidan Scannell, Wenshuai Zhao, Yuxin Hou, Tianyu Cui, Le Chen, Dieter Büchler, Arno Solin, Juho Kannala, Joni Pajarinen Efficient Zero-Shot Inpainting with Decoupled Diffusion Guidance
Badr Moufad, Yazid Janati, Navid Bagheri Shouraki, Alain Oliviero Durmus, Thomas Hirtz, Eric Moulines, Jimmy Olsson EffiVMT: Video Motion Transfer via Efficient Spatial-Temporal Decoupled Finetuning
Yue Ma, Yulong Liu, Qiyuan Zhu, Xiangpeng Yang, Kunyu Feng, Xinhua Zhang, Zexuan Yan, Zhifeng Li, Sirui Han, Chenyang Qi, Qifeng Chen EgoBrain: Synergizing Minds and Eyes for Human Action Understanding
Nie Lin, Yansen Wang, Dongqi Han, Weibang Jiang, Jingyuan Li, Ryosuke Furuta, Yoichi Sato, Dongsheng Li EgoHandICL: Egocentric 3D Hand Reconstruction with In-Context Learning
Binzhu Xie, Shi Qiu, Sicheng Zhang, Yinqiao Wang, Hao Xu, Muzammal Naseer, Chi-Wing Fu, Pheng-Ann Heng EgoNight: Towards Egocentric Vision Understanding at Night with a Challenging Benchmark
Deheng Zhang, Yuqian Fu, Runyi Yang, Yang Miao, Tianwen Qian, Xu Zheng, Guolei Sun, Ajad Chhatkuli, Xuanjing Huang, Yu-Gang Jiang, Luc Van Gool, Danda Pani Paudel EgoTwin: Dreaming Body and View in First Person
Jingqiao Xiu, Fangzhou Hong, Yicong Li, Mengze Li, Wentao Wang, Sirui Han, Liang Pan, Ziwei Liu Eigen-Agent: Adaptive Multi-Agent Scientific Reasoning with Monitor-Based RAG
Xiangru Tang, Wanghan Xu, Yujie Wang, Zijie Guo, Yanjun Shao, Cixuan Zhang, Ziyi Wang, Lixin Zhang, Guancheng Wan, Zhenfei Yin, Wenlong Zhang, Lei Bai, Philip Torr, Hanrui Wang, Di Jin EigenBench: A Comparative Behavioral Measure of Value Alignment
Jonathn Chang, Leonhard Piff, Suvadip Sana, Jasmine Xinze Li, Lionel Levine Einstein Fields: A Neural Perspective to Computational General Relativity
Sandeep Suresh Cranganore, Andrei Bodnar, Arturs Berzins, Johannes Brandstetter EIP: Weighted Ranking of LLMs by Quantifying Question Difficulty
Xingjian Hu, Ziqian Zhang, Yue Huang, Kai Zhang, Ruoxi Chen, Yixin Liu, Qingsong Wen, Kaidi Xu, Xiangliang Zhang, Neil Zhenqiang Gong, Lichao Sun ELEPHANT: Measuring and Understanding Social Sycophancy in LLMs
Myra Cheng, Sunny Yu, Cinoo Lee, Pranav Khadpe, Lujain Ibrahim, Dan Jurafsky Eliciting Harmful Capabilities by Fine-Tuning on Safeguarded Outputs
Jackson Kaunismaa, John Hughes, Christina Q Knight, Avery Griffin, Mrinank Sharma, Erik Jones Eliminating Inductive Bias in Reward Models with Information-Theoretic Guidance
Zhuo Li, Pengyu Cheng, Zhechao Yu, FeifeiTong, Anningzhe Gao, Tsung-Hui Chang, Xiang Wan, Erchao.Zec, Xiaoxi Jiang, Guanjunjiang ELLMob: Event-Driven Human Mobility Generation with Self-Aligned LLM Framework
Yusong Wang, Chuang Yang, Jiawei Wang, Xiaohang Xu, Jiayi Xu, Dongyuan Li, Chuan Xiao, Renhe Jiang Embedding-Based Context-Aware Reranker
Ye Yuan, Mohammad Amin Shabani, Siqi Liu Embodied Agents Meet Personalization: Investigating Challenges and Solutions Through the Lens of Memory Utilization
Taeyoon Kwon, Dongwook Choi, Hyojun Kim, Sunghwan Kim, Seungjun Moon, Beong-woo Kwak, Kuan-Hao Huang, Jinyoung Yeo Embodied Navigation Foundation Model
Jiazhao Zhang, Anqi Li, Yunpeng Qi, Minghan Li, Jiahang Liu, Shaoan Wang, Haoran Liu, Gengze Zhou, Yuze Wu, Xingxing Li, Yuxin Fan, Wenjun Li, Zhibo Chen, Fei Gao, Qi Wu, Zhizheng Zhang, He Wang Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation
Yifu Yuan, Haiqin Cui, Yaoting Huang, Yibin Chen, Fei Ni, Zibin Dong, Pengyi Li, Yan Zheng, Hongyao Tang, Jianye Hao EMBridge: Enhancing Gesture Generalization from EMG Signals Through Cross-Modal Representation Learning
Wenhui Cui, Christopher Michael Sandino, Hadi Pouransari, Ran Liu, Juri Minxha, Ellen L. Zippi, Erdrin Azemi, Behrooz Mahasseni Emergent Dexterity via Diverse Resets and Large-Scale Reinforcement Learning
Patrick Yin, Tyler Westenbroek, Zhengyu Zhang, Ignacio Dagnino, Eeshani Shilamkar, Numfor Mbiziwo-Tiapo, Simran Bagaria, Xinlei Liu, Galen Mullins, Andrey Kolobov, Abhishek Gupta Emergent Misalignment Is Easy, Narrow Misalignment Is Hard
Anna Soligo, Edward Turner, Senthooran Rajamanoharan, Neel Nanda EmoPrefer: Can Large Language Models Understand Human Emotion Preferences?
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Da Ma, Ziyue Yang, Hongshen Xu, Haotian Fang, Kai Yu, Lu Chen Empowering Multi-Robot Cooperation via Sequential World Models
Zijie Zhao, Honglei Guo, Shengqian Chen, Kaixuan Xu, Bo Jiang, Yuanheng Zhu, Dongbin Zhao Enabling Your Forensic Detector Know How Well It Performs on Distorted Samples
Bin Li, Haoyu Li, Haodong Li, Jiaming Zhong, Changsheng Chen, Jiangqun Ni, Bo.Cao ENACT: Evaluating Embodied Cognition with World Modeling of Egocentric Interaction
Qineng Wang, Wenlong Huang, Yu Zhou, Hang Yin, Tianwei Bao, Jianwen Lyu, Weiyu Liu, Ruohan Zhang, Jiajun Wu, Li Fei-Fei, Manling Li End-to-End Listen, Look, Speak and Act
Siyin Wang, Wenyi Yu, Xianzhao Chen, Xiaohai Tian, Jun Zhang, Lu Lu, Yuxuan Wang, Chao Zhang End-to-End Probabilistic Framework for Learning with Hard Constraints
Utkarsh Utkarsh, Danielle C. Maddix, Ruijun Ma, Michael W. Mahoney, Bernie Wang Energy-Based Transformers Are Scalable Learners and Thinkers
Alexi Gladstone, Ganesh Nanduru, Md Mofijul Islam, Peixuan Han, Hyeonjeong Ha, Aman Chadha, Yilun Du, Heng Ji, Jundong Li, Tariq Iqbal Energy-Efficient Random Variate Generation via Compressed Lookup Tables
Johann Ukrow, Anna Kazachkova, Nicolas Alder, Sven Köhler, Rainer Schlosser, Ralf Herbrich Energy-Regularized Sequential Model Editing on Hyperspheres
Qingyuan Liu, Jia-Chen Gu, Yunzhi Yao, Hong Wang, Nanyun Peng Enhanced Continual Learning of Vision-Language Models with Model Fusion
Haoyuan Gao, Zicong Zhang, Yuqi Wei, Linglan Zhao, Guilin Li, Yexin Li, Bo Wang, Linghe Kong, Weiran Huang Enhancing Diffusion-Based Sampling with Molecular Collective Variables
Juno Nam, Bálint Máté, Artur P. Toshev, Manasa Kaniselvan, Rafael Gomez-Bombarelli, Ricky T. Q. Chen, Brandon M. Wood, Guan-Horng Liu, Benjamin Kurt Miller Enhancing Generative Auto-Bidding with Offline Reward Evaluation and Policy Search
Zhiyu Mou, Yiqin Lv, Miao Xu, Cheems Wang, Yixiu Mao, Jinghao Chen, Qichen Ye, Chao Li, Rongquan Bai, Chuan Yu, Jian Xu, Bo Zheng Enhancing Hallucination Detection Through Noise Injection
Litian Liu, Reza Pourreza, Sunny Panchal, Apratim Bhattacharyya, Yubing Jian, Yao Qin, Roland Memisevic Enhancing Learning with Noisy Labels via Rockafellian Relaxation
Louis Chen, Bobbie Chern, Eric Eckstrand, Amogh Mahapatra, Johannes O. Royset Enhancing Multi-Image Understanding Through Delimiter Token Scaling
Minyoung Lee, Yeji Park, Dongjun Hwang, Yejin Kim, Seong Joon Oh, Junsuk Choe Ensembling Pruned Attention Heads for Uncertainty-Aware Efficient Transformers
Firas Gabetni, Giuseppe Curci, Andrea Pilzer, Subhankar Roy, Elisa Ricci, Gianni Franchi Entropy-Based Block Pruning for Efficient Large Language Models
Liangwei Yang, Yuhui Xu, Juntao Tan, Doyen Sahoo, Silvio Savarese, Caiming Xiong, Huan Wang, Shelby Heinecke Entropy-Monitored Kernelized Token Distillation for Audio-Visual Compression
Hyoungseob Park, Lipeng Ke, Pritish Mohapatra, Huajun Ying, Sankar Venkataraman, Alex Wong Entropy-Preserving Reinforcement Learning
Aleksei Petrenko, Ben Lipkin, Kevin Chen, Erik Wijmans, Marco Francis Cusumano-Towner, Raja Giryes, Philipp Kraehenbuehl EntropyLong: Effective Long-Context Training via Predictive Uncertainty
Junlong Jia, Ziyang Chen, Xing W, Chaochen Gao, Zijia Lin, Songlin Hu, GuoBinghui Equilibrium Language Models
Yikun Jiang, Huanyu Wang, Tianhong Ding, Wenhu Zhang, Yiming Wu, Hanbin Zhao, John C.S. Lui Equivariant Splitting: Self-Supervised Learning from Incomplete Data
Victor Sechaud, Jérémy Scanvic, Quentin Barthélemy, Patrice Abry, Julián Tachella Erase or Hide? Suppressing Spurious Unlearning Neurons for Robust Unlearning
Nakyeong Yang, Dong-Kyum Kim, Jea Kwon, Minsung Kim, Kyomin Jung, Meeyoung Cha Erase to Improve: Erasable Reinforcement Learning for Search-Augmented LLMs
Kang An, Ziliang Wang, Xuhui Zheng, FaQiang Qian, WeiKun Zhang, Yuhang Wang, Yichao Wu ERGO: Efficient High-Resolution Visual Understanding for Vision-Language Models
Jewon Lee, Wooksu Shin, Seungmin Yang, Ki-Ung Song, DongUk Lim, Jaeyeon Kim, Tae-Ho Kim, Bo-Kyeong Kim Error Feedback for Muon and Friends
Kaja Gruntkowska, Alexander Gaponov, Zhirayr Tovmasyan, Peter Richtárik ERTACache: Error Rectification and Timesteps Adjustment for Efficient Diffusion
Xurui Peng, Chenqian Yan, Hong Liu, Rui Ma, Fangmin Chen, Xing Wang, Zhihua Wu, Songwei Liu, Mingbao Lin Escaping Low-Rank Traps: Interpretable Visual Concept Learning via Implicit Vector Quantization
Shujian Gao, Yuan Wang, Chenglong Ma, Xin Gao, Jiangtao Yan, Junzhi Ning, Cheng Tang, Changkai Ji, Huihui Xu, Wei Li, Ziyan Huang, Jiashi Lin, Ming Hu, Jiyao Liu, Wenhao Tang, Ye Du, Tianbin Li, Jin Ye, Junjun He Estimating Semantic Alphabet Size for LLM Uncertainty Quantification
Lucas Hurley McCabe, Rimon Melamed, Thomas Hartvigsen, H Howie Huang Estimating Worst-Case Frontier Risks of Open-Weight LLMs
Eric Wallace, Olivia Watkins, Miles Wang, Kai Chen, Chris Koch EvA: Evolutionary Attacks on Graphs
Mohammad Sadegh Akhondzadeh, Soroush H. Zargarbashi, Jimin Cao, Aleksandar Bojchevski Evaluating Cross-Modal Reasoning Ability and Problem Characteristics with Multimodal Item Response Theory
Shunki Uebayashi, Kento Masui, Kyohei Atarashi, Han Bao, Hisashi Kashima, Naoto Inoue, Mayu Otani, Koh Takeuchi Evaluating Data Influence in Meta Learning
Chenyang Ren, Huanyi Xie, Shu Yang, Meng Ding, Dongrui Liu, Lijie Hu, Di Wang Evaluating Language Models' Evaluations of Games
Katherine M. Collins, Cedegao E. Zhang, Graham Todd, Lance Ying, Mauricio Barba da Costa, Ryan Liu, Prafull Sharma, Adrian Weller, Ionatan Kuperwajs, Lionel Wong, Joshua B. Tenenbaum, Thomas L. Griffiths Event-T2M: Event-Level Conditioning for Complex Text-to-Motion Synthesis
Seong-Eun Hong, Jaeyoung Seon, JuYeong Hwang, JongHwan Shin, HyeongYeop Kang EventFlash: Towards Efficient MLLMs for Event-Based Vision
Shaoyu Liu, Jianing Li, Guanghui Zhao, Yunjian Zhang, Wen Jiang, Ming Li, Xiangyang Ji Evoking User Memory: Personalizing LLM via Recollection-Familiarity Adaptive Retrieval
Yingyi Zhang, Junyi Li, Wenlin Zhang, Pengyue Jia, Xianneng Li, Yichao Wang, Derong Xu, Yi Wen, Huifeng Guo, Yong Liu, Xiangyu Zhao EvolProver: Advancing Automated Theorem Proving by Evolving Formalized Problems via Symmetry and Difficulty
Yuchen Tian, Ruiyuan Huang, Wang Xuanwu, Jing Ma, Zengfeng Huang, Ziyang Luo, Hongzhan Lin, Da Zheng, Lun Du Evolution of Concepts in Language Model Pre-Training
Xuyang Ge, Wentao Shu, Jiaxing Wu, Yunhua Zhou, Zhengfu He, Xipeng Qiu Evolving Graph Structured Programs for Circuit Generation with Large Language Models
Yinqi Bai, Jie Wang, Lei Chen, Zhihai Wang, Yumeng Li, Mingxuan Yuan, Jianye Hao, Defu Lian, Enhong Chen EvoTest: Evolutionary Test-Time Learning for Self-Improving Agentic Systems
Yufei He, Juncheng Liu, Yue Liu, Yibo Li, Tri Cao, Zhiyuan Hu, Xinxing Xu, Bryan Hooi Exchangeability of GNN Representations with Applications to Graph Retrieval
Kartik Nair, Indradyumna Roy, Soumen Chakrabarti, Anirban Dasgupta, Abir De Executable Counterfactuals: Improving LLMs' Causal Reasoning Through Code
Aniket Vashishtha, Qirun Dai, Hongyuan Mei, Amit Sharma, Chenhao Tan, Hao Peng ExGRPO: Learning to Reason from Experience
Runzhe Zhan, Yafu Li, Zhi Wang, Xiaoye Qu, Dongrui Liu, Jing Shao, Derek F. Wong, Yu Cheng ExoPredicator: Learning Abstract Models of Dynamic Worlds for Robot Planning
Yichao Liang, Thanh Dat Nguyen, Cambridge Yang, Tianyang Li, Joshua B. Tenenbaum, Carl Edward Rasmussen, Adrian Weller, Zenna Tavares, Tom Silver, Kevin Ellis EXP-Bench: Can AI Conduct AI Research Experiments?
Patrick Tser Jern Kon, Qiuyi Ding, Jiachen Liu, Xinyi Zhu, Jingjia Peng, Jiarong Xing, Yibo Huang, Yiming Qiu, Jayanth Srinivasa, Myungjin Lee, Mosharaf Chowdhury, Matei Zaharia, Ang Chen Expanding Reasoning Potential in Foundation Model by Learning Diverse Chains of Thought Patterns
Xuemiao Zhang, Can Ren, Chengying Tu, Rongxiang Weng, Shuo Wang, Hongfei Yan, Jingang Wang, Xunliang Cai Expanding the Capability Frontier of LLM Agents with ZPD-Guided Data Synthesis
Xuanzhong Chen, Zile Qiao, Guoxin Chen, Liangcai Su, Zhen Zhang, Xinyu Wang, Pengjun Xie, Fei Huang, Jingren Zhou, Yong Jiang, Ting Chen Expert Divergence Learning for MoE-Based Language Models
Jiaang Li, Haibin Chen, Langming Liu, Yujin Yuan, Yadao Wang, Yizhen Zhang, Chengting Yu, Xin Tong, Weidong Zhang, Shilei Liu, Wenbo Su, Bo Zheng Expert Merging in Sparse Mixture of Experts with Nash Bargaining
Dung Viet Nguyen, Anh Nguyen Thi, Minh Hoang Nguyen, Luc Nguyen, Shiqi Jiang, Ethan Fetaya, Linh Duy Tran, Gal Chechik, Tan Minh Nguyen Expertise Can Be Helpful for Reinforcement Learning-Based Macro Placement
Chengrui Gao, Yunqi Shi, Ke Xue, Ruo-Tong Chen, Siyuan Xu, Mingxuan Yuan, Chao Qian, Zhi-Hua Zhou ExpertLongBench: Benchmarking Language Models on Expert-Level Long-Form Generation Tasks with Structured Checklists
Jie Ruan, Inderjeet Jayakumar Nair, Shuyang Cao, Amy Liu, Sheza Munir, Micah Pollens-Dempsey, Yune-Ting Tiffany Chiang, Lucy R. Kates, Nicholas David, Sihan Chen, Ruxin Yang, Yuqian Yang, Jihyun Jasmine Gump, Tessa Bialek, Vivek S Sankaran, Margo Schlanger, Lu Wang ExpGuard: LLM Content Moderation in Specialized Domains
Minseok Choi, Dongjin Kim, Seungbin Yang, Subin Kim, Youngjun Kwak, Juyoung Oh, Jaegul Choo, Jungmin Son Explainable LLM Unlearning Through Reasoning
Junfeng Liao, Qizhou Wang, Shanshan Ye, Xin Yu, Ling Chen, Zhen Fang Explainable Token-Level Noise Filtering for LLM Fine-Tuning Datasets
Yuchen Yang, Wenze Lin, Enhao Huang, Zhixuan Chu, Hongbin Zhou, Lan Tao, Yiming Li, Zhan Qin, Kui Ren Exploiting Low-Dimensional Manifold of Features for Few-Shot Whole Slide Image Classification
Conghao Xiong, Zhengrui Guo, Zhe Xu, Yifei Zhang, Raymond Kai-yu Tong, Si Yong Yeo, Hao Chen, Joseph JY Sung, Irwin King Exploratory Causal Inference in SAEnce
Tommaso Mencattini, Riccardo Cadei, Francesco Locatello Exploratory Diffusion Model for Unsupervised Reinforcement Learning
Chengyang Ying, Huayu Chen, Xinning Zhou, Zhongkai Hao, Hang Su, Jun Zhu Explore-on-Graph: Incentivizing Autonomous Exploration of Large Language Models on Knowledge Graphs with Path-Refined Reward Modeling
Shiqi Yan, Yubo Chen, Ruiqi Zhou, Zhengxi Yao, Shuai Chen, Tianyi Zhang, Shijie Zhang, Wei-Qiang Zhang, Yongfeng Huang, Haixin Duan, Yunqi Zhang Exploring Diverse Generation Paths via Inference-Time Stiefel Activation Steering
Dongxuan Zhu, Ly Tran Ho Khanh, Andy Yat-Ming Cheung, Man-Chung Yue, Viet Anh Nguyen Exploring Interpretability for Visual Prompt Tuning with Cross-Layer Concepts
Yubin Wang, Xinyang Jiang, De Cheng, Xiangqian Zhao, Zilong Wang, Dongsheng Li, Cairong Zhao Exploring Knowledge Purification in Multi-Teacher Knowledge Distillation for LLMs
Ruihan Jin, Pengpeng Shao, Zhengqi Wen, Jinyang Wu, Mingkuan Feng, Shuoyang, Chu Yuan Zhang, Jianhua Tao Exploring Synthesizable Chemical Space with Iterative Pathway Refinements
Seul Lee, Karsten Kreis, Srimukh Prasad Veccham, Meng Liu, Danny Reidenbach, Saee Gopal Paliwal, Weili Nie, Arash Vahdat Exploring the Potential of Encoder-Free Architectures in 3D LMMs
Yiwen Tang, Ziyu Guo, Zhuhao Wang, Renrui Zhang, Qizhi Chen, Junli Liu, Delin Qu, Dong Wang, Bin Zhao, Xuelong Li ExPO-HM: Learning to Explain-Then-Detect for Hateful Meme Detection
Jingbiao Mei, Mingsheng Sun, Jinghong Chen, Pengda Qin, Yuhong Li, Da Chen, Bill Byrne Exposing and Defending the Achilles' Heel of Video Mixture-of-Experts
Songping Wang, Qinglong Liu, Yueming Lyu, Ning Li, Ziwen He, Caifeng Shan Exposing Weaknesses of Large Reasoning Models Through Graph Algorithm Problems
Qifan Zhang, Jianhao Ruan, Aochuan Chen, Kang Zeng, Nuo Chen, Jing Tang, Jia Li ExpVid: A Benchmark for Experiment Video Understanding & Reasoning
Yicheng Xu, Yue Wu, Jiashuo Yu, Ziang Yan, Tianxiang Jiang, Yinan He, Qingsong Zhao, Kai Chen, Yu Qiao, Limin Wang, Manabu Okumura, Yi Wang Extending Fourier Neural Operators for Modeling Parameterized and Coupled PDEs
Cheng Jing, Uvini Balasuriya Mudiyanselage, Abhishek Verma, Kallol Bera, Shahid Rauf, Kookjin Lee F-INE: A Hypothesis Testing Framework for Estimating Influence Under Training Randomness
Subhodip Panda, Dhruv Tarsadiya, Shashwat Sourav, Prathosh Ap, Sai Praneeth Karimireddy FACET: A Fragment-Aware Conformer Ensemble Transformer
Duy Minh Ho Nguyen, Trung Quoc Nguyen, Ha Thi Hong Le, Mai Thanh Nhat Truong, TrungTin Nguyen, Nhat Ho, Khoa D Doan, Duy Duong-Tran, Li Shen, Daniel Sonntag, James Zou, Mathias Niepert, Hyojin Kim, Jonathan E Allen FACM: Flow-Anchored Consistency Models
Yansong Peng, Kai Zhu, Yu Liu, Pingyu Wu, Hebei Li, Xiaoyan Sun, Feng Wu Factuality Matters: When Image Generation and Editing Meet Structured Visuals
Le Zhuo, Songhao Han, Yuandong Pu, Boxiang Qiu, Sayak Paul, Yue Liao, Yihao Liu, Jie Shao, Xi Chen, Si Liu, Hongsheng Li Fair Conformal Classification via Learning Representation-Based Groups
Senrong Xu, Yanke Zhou, Yuhao Tan, Zenan Li, Yuan Yao, Taolue Chen, Feng Xu, Xiaoxing Ma Fairness-Aware Multi-View Evidential Learning with Adaptive Prior
Haishun Chen, Cai Xu, Jinlong Yu, Yilin Zhang, Ziyu Guan, Wei Zhao, Fangyuan Zhao, Xin Yang FaithCoT-Bench: Benchmarking Instance-Level Faithfulness of Chain-of-Thought Reasoning
Xu Shen, Song Wang, Zhen Tan, Laura Yao, Xinyu Zhao, Kaidi Xu, Xin Wang, Tianlong Chen Faithful Bi-Directional Model Steering via Distribution Matching and Distributed Interchange Interventions
Yuntai Bao, Xuhong Zhang, Jintao Chen, Ge Su, Yuxiang Cai, Hao Peng, Sun Bing, Haiqin Weng, Liu Yan, Jianwei Yin Faithfulness Under the Distribution: A New Look at Attribution Evaluation
Zhiyu Zhu, Zhibo Jin, Jiayu Zhang, Bartlomiej Sobieski, Przemyslaw Biecek, Fang Chen, Jianlong Zhou FakeXplain: AI-Generated Image Detection via Human-Aligned Grounded Reasoning
Yikun Ji, Yan Hong, Qi Fan, Jun Lan, Huijia Zhu, Weiqiang Wang, Liqing Zhang, Jianfu Zhang FALCON: Few-Step Accurate Likelihoods for Continuous Flows
Danyal Rehman, Tara Akhound-Sadegh, Artem Gazizov, Yoshua Bengio, Alexander Tong FaLW: A Forgetting-Aware Loss Reweighting for Long-Tailed Unlearning
Liheng Yu, Zhe Zhao, Yuxuan Wang, Pengkun Wang, Xiaofeng Cao, Binwu Wang, Yang Wang FAME: Formal Abstract Minimal Explanation for Neural Networks
Ryma Boumazouza, Raya Elsaleh, Melanie Ducoffe, Shahaf Bassan, Guy Katz Fantastic Pretraining Optimizers and Where to Find Them
Kaiyue Wen, David Leo Wright Hall, Tengyu Ma, Percy Liang FARTrack: Fast Autoregressive Visual Tracking with High Performance
Guijie Wang, Tong Lin, Yifan Bai, Anjia Cao, Shiyi Liang, Wangbo Zhao, Xing Wei Fasa: Frequency-Aware Sparse Attention
Yifei Wang, Yueqi Wang, Zhenrui Yue, Huimin Zeng, Yong Wang, Ismini Lourentzou, Zhengzhong Tu, Xiangxiang Chu, Julian McAuley Fast and Interpretable Protein Substructure Alignment via Optimal Transport
Zhiyu Wang, Bingxin Zhou, Weishu Zhao, Yang Tan, Jing Wang, Pietro Lio, Liang Hong Fast Catch-up, Late Switching: Optimal Batch Size Scheduling via Functional Scaling Laws
Jinbo Wang, Binghui Li, Zhanpeng Zhou, Mingze Wang, Yuxuan Sun, Jiaqi Zhang, Xunliang Cai, Lei Wu Fast Data Mixture Optimization via Gradient Descent
Haoru Tan, Sitong Wu, Yanfeng Chen, Jun Xia, Ruobing Xie, Bin Xia, Xingwu Sun, Xiaojuan Qi Fast Proteome-Scale Protein Interaction Retrieval via Residue-Level Factorization
Jianan Zhao, Zhihao Zhan, Narendra Chaudhary, Xinyu Yuan, Zuobai Zhang, Qian Cong, Jian Zhou, Sanchit Misra, Jian Tang Fast Training of Accurate Physics-Informed Neural Networks Without Gradient Descent
Chinmay Datar, Taniya Kapoor, Abhishek Chandra, Qing Sun, Erik Lien Bolager, Iryna Burak, Anna Veselovska, Massimo Fornasier, Felix Dietrich Fast-dLLM V2: Efficient Block-Diffusion LLM
Chengyue Wu, Hao Zhang, Shuchen Xue, Shizhe Diao, Yonggan Fu, Zhijian Liu, Pavlo Molchanov, Ping Luo, Song Han, Enze Xie Fast-dLLM: Training-Free Acceleration of Diffusion LLM by Enabling KV Cache and Parallel Decoding
Chengyue Wu, Hao Zhang, Shuchen Xue, Zhijian Liu, Shizhe Diao, Ligeng Zhu, Ping Luo, Song Han, Enze Xie Fastcar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge
Xuan Shen, Weize Ma, Yufa Zhou, Enhao Tang, Yanyue Xie, Zhengang Li, Yifan Gong, Quanyi Wang, Henghui Ding, Yiwei Wang, Pu Zhao, Jun Lin, Jiuxiang Gu Faster Vision Transformers with Adaptive Patches
Rohan Choudhury, JungEun Kim, Jinhyung Park, Eunho Yang, Laszlo A. Jeni, Kris Kitani FASTer: Toward Powerful and Efficient Autoregressive Vision–Language–Action Models with Learnable Action Tokenizer and Block-Wise Decoding
Yicheng Liu, Shiduo Zhang, Zibin Dong, Baijun Ye, Tianyuan Yuan, Xiaopeng Yu, Linqi Yin, Chenhao Lu, Junhao Shi, Luca Jiang-Tao Yu, Liangtao Zheng, Jingjing Gong, Tao Jiang, Xipeng Qiu, Hang Zhao FastFlow: Accelerating the Generative Flow Matching Models with Bandit Inference
Divya Jyoti Bajpai, Dhruv Bhardwaj, Soumya Roy, Tejas Duseja, Harsh Agarwal, Aashay Sandansing, Manjesh Kumar Hanawal FastGHA: Generalized Few-Shot 3D Gaussian Head Avatars with Real-Time Animation
Xinya Ji, Sebastian Weiss, Manuel Kansy, Jacek Naruniec, Xun Cao, Barbara Solenthaler, Derek Bradley FastVGGT: Fast Visual Geometry Transformer
You Shen, Zhipeng Zhang, Yansong Qu, Xiawu Zheng, Jiayi Ji, Shengchuan Zhang, Liujuan Cao FastVMT: Eliminating Redundancy in Video Motion Transfer
Yue Ma, Zhikai Wang, Tianhao Ren, Mingzhe Zheng, Hongyu Liu, Jiayi Guo, Kunyu Feng, Yuxuan Xue, Zixiang Zhao, Konrad Schindler, Qifeng Chen, Linfeng Zhang FATE: A Formal Benchmark Series for Frontier Algebra of Multiple Difficulty Levels
Jiedong Jiang, Wanyi He, Wang Yuefeng, Guoxiong Gao, Yongle Hu, Jingting Wang, Nailin Guan, Peihao Wu, Bryan Dai, Liang Xiao, Bin Dong Feature Compression Is the Root Cause of Adversarial Fragility in Neural Networks
Jingchao Gao, Ziqing Lu, Raghu Mudumbai, Xiaodong Wu, Jirong Yi, Myung Cho, Catherine Xu, Hui Xie, Weiyu Xu FeatureBench: Benchmarking Agentic Coding for Complex Feature Development
Qixing Zhou, JiaCheng Zhang, Haiyang Wang, Rui Hao, Jiahe Wang, Minghao Han, Yuxue Yang, Shuzhe Wu, Feiyang Pan, Lue Fan, Dandan Tu, Zhaoxiang Zhang Federated ADMM from Bayesian Duality
Thomas Möllenhoff, Siddharth Swaroop, Finale Doshi-Velez, Mohammad Emtiyaz Khan FedMC: Federated Manifold Calibration
Yanbiao Ma, Wei Dai, Gaoyang Jiang, Wanyi Chen, Chenyue Zhou, Yiwei Zhang, Fei Luo, Junhao Wang, Andi Zhang FERD: Fairness-Enhanced Data-Free Adversarial Robustness Distillation
Zhengxiao Li, Liming Lu, Xu Zheng, Si Yuan Liang, Taric Chen, Yongbin Zhou, Shuchao Pang Fewer Battles, More Gain: An Information-Efficient Framework for Arena-Based LLM Evaluation
Zirui Liu, Xianquan Wang, Yan Zhuang, Jiatong Li, Qi Liu, Shuanghong Shen, Mingyue Cheng, Shijin Wang Fewer Weights, More Problems: A Practical Attack on LLM Pruning
Kazuki Egashira, Robin Staab, Thibaud Gloaguen, Mark Vero, Martin Vechev FictionalQA: A Dataset for Studying Memorization and Knowledge Acquisition
John Kirchenbauer, Natjanan Mongkolsupawan, Yuxin Wen, Tom Goldstein, Daphne Ippolito FideDiff: Efficient Diffusion Model for High-Fidelity Image Motion Deblurring
Xiaoyang Liu, Zhengyan Zhou, Zihang Xu, Jiezhang Cao, Zheng Chen, Yulun Zhang FieryGS: In-the-Wild Fire Synthesis with Physics-Integrated Gaussian Splatting
Qianfan Shen, Ningxiao Tao, Qiyu Dai, Tianle Chen, Minghan Qin, Yongjie Zhang, Mengyu Chu, Wenzheng Chen, Baoquan Chen Figma2Code: Automating Multimodal Design to Code in the Wild
Yi Gui, Jiawan Zhang, Yina Wang, Tianran Ma, Yao Wan, Shilin He, Dongping Chen, Zhou Zhao, Wenbin Jiang, Xuanhua Shi, Hai Jin, Philip S. Yu FilMaster: Bridging Cinematic Principles and Generative AI for Automated Film Generation
Kaiyi Huang, Yukun Huang, Xintao Wang, Zinan Lin, Xuefei Ning, Pengfei Wan, Di Zhang, Yu Wang, Xihui Liu Fine-Grained Activation Steering: Steering Less, Achieving More
Zijian Feng, Tianjiao Li, Zixiao Zhu, Hanzhang Zhou, Junlang Qian, Li Zhang, Chua Jia Jim Deryl, Mak Lee Onn, Gee Wah Ng, Kezhi Mao Fine-Tuning Diffusion Models via Intermediate Distribution Shaping
Gautham Govind Anil, Shaan Ul Haque, Nithish Kannen, Dheeraj Mysore Nagaraj, Sanjay Shakkottai, Karthikeyan Shanmugam Fine-Tuning Done Right in Model Editing
Wanli Yang, Rui Tang, Hongyu Zang, Du Su, Qi Cao, Jingang Wang, Huawei Shen, Xueqi Cheng, Fei Sun FingerTip 20k: A Benchmark for Proactive and Personalized Mobile LLM Agents
Qinglong Yang, Haoming Li, Haotian Zhao, Xiaokai Yan, Jingtao Ding, Fengli Xu, Yong Li FinSearchComp: Towards a Realistic, Expert-Level Evaluation of Financial Search and Reasoning
Liang Hu, Jianpeng Jiao, Jiashuo Liu, Dongyuan Mutu, Yanle Ren, Zhoufutu Wen, Kaiyuan Zhang, Xuanliang Zhang, Xiang Gao, Tianci He, Fei Hu, Yali Liao, Zaiyuan Wang, Jingkai Liu, Sun Daibin, Ziqing Zeng, Zhiyuan Zeng, Chenghao Yang, Qianyu Yang, Mingren Yin, Ge Zhang, Xinyi Zhang, Xiying Zhao, Zhu Zhenwei, Hongseok Namkoong, Wenhao Huang Fisher-Rao Sensitivity for Out-of-Distribution Detection in Deep Neural Networks
Anthony Nguyen, Antonin Bertrand, Sylvie Le Hégarat-Mascle, Emanuel Aldea, Mohammed Nabil El-Korso, Renaud Lustrat, Franck Florin Fixing the Broken Compass: Diagnosing and Improving Inference-Time Reward Modeling
Jiachun Li, Pengfei Cao, Zhuoran Jin, Yubo Chen, Jiexin Xu, Huaijun Li, Xiaojian Jiang, Kang Liu, Jun Zhao Flash-Mono: Feed-Forward Accelerated Gaussian Splatting Monocular SLAM
Zicheng Zhang, Ke Wu, Xiangting Meng, Keyu Liu, Jieru Zhao, Wenchao Ding Flash-Searcher: Fast and Effective Web Agents via DAG-Based Parallel Execution
Tianrui Qin, Qianben Chen, Sinuo Wang, He Xing, King Zhu, He Zhu, Dingfeng Shi, Xinxin Liu, Ge Zhang, Jiaheng Liu, Xitong Gao, Yuchen Eleanor Jiang, Wangchunshu Zhou FlashWorld: High-Quality 3D Scene Generation Within Seconds
Xinyang Li, Tengfei Wang, Zixiao Gu, Shengchuan Zhang, Chunchao Guo, Liujuan Cao Flatness Guided Test-Time Adaptation for Vision-Language Models
Aodi Li, Liansheng Zhuang, Xiao Long, Houqiang Li, Shafei Wang Flatter Tokens Are More Valuable for Speculative Draft Model Training
Jiaming Fan, Cao Daming, Xiangzhong Luo, Jiale Fu, Chonghan Liu, Xu Yang FlexiCodec: A Dynamic Neural Audio Codec for Low Frame Rates
Jiaqi Li, Yao Qian, Yuxuan Hu, Leying Zhang, Xiaofei Wang, Heng Lu, Manthan Thakker, Jinyu Li, Sheng Zhao, Zhizheng Wu FlexLinearAttention: Compiling a Unified Abstraction into Scalable Kernels for Linear Attention
Haojie Duanmu, Size Zheng, Ningxin Zheng, Jianqiao Lu, Xuegui Zheng, Xingcheng Zhang, Li-Wen Chang, Xin Liu, Dahua Lin FlexRibbon: Joint Sequence and Structure Pretraining for Protein Modeling
Jianwei Zhu, Yu Shi, Ran Bi, Peiran Jin, Chang Liu, Zhe Zhang, Haitao Huang, Zekun Guo, Pipi Hu, Fusong Ju, Lin Huang, Xinwei Tai, Chenao Li, Kaiyuan Gao, Xinran Wei, Huanhuan Xia, Jia Zhang, Yaosen Min, Zun Wang, Yusong Wang, Liang He, Haiguang Liu, Tao Qin Flock: A Knowledge Graph Foundation Model via Learning on Random Walks
Jinwoo Kim, Xingyue Huang, Krzysztof Olejniczak, Kyungbin Min, Michael M. Bronstein, Seunghoon Hong, Ismail Ilkan Ceylan Flow Actor-Critic for Offline Reinforcement Learning
Jongseong Chae, Jongeui Park, Yongjae Shin, Gyeongmin Kim, Seungyul Han, Youngchul Sung Flow Along the $k$-Amplitude for Generative Modeling
Weitao Du, Jiasheng Tang, Shuning Chang, Yu Rong, Fan Wang, Shengchao Liu Flow Autoencoders Are Effective Protein Tokenizers
Rohit Dilip, Evan Zhang, Ayush Varshney, David Van Valen Flow Caching for Autoregressive Video Generation
Yuexiao Ma, Xuzhe Zheng, Jing Xu, Xiwei Xu, Feng Ling, Xiawu Zheng, Huafeng Kuang, Huixia Li, Xing Wang, Xuefeng Xiao, Fei Chao, Rongrong Ji Flow mAP Learning via Non-Gradient Vector Flow
Mark Goldstein, Anshuk Uppal, Raghav Singhal, Aahlad Manas Puli, Rajesh Ranganath Flow Matching Policy Gradients
David McAllister, Songwei Ge, Brent Yi, Chung Min Kim, Ethan Weber, Hongsuk Choi, Haiwen Feng, Angjoo Kanazawa Flow Matching with Semidiscrete Couplings
Alireza Mousavi-Hosseini, Stephen Y. Zhang, Michal Klein, Marco Cuturi Flow of Spans: Generalizing Language Models to Dynamic Span-Vocabulary via GFlowNets
Bo Xue, Yunchong Song, Fanghao Shao, Xuekai Zhu, Lin Chen, Luoyi Fu, Xinbing Wang, Zhouhan Lin Flow-Disentangled Feature Importance
Xingshu Chen, Yifeng Guo, Jin-Hong Du Flow2GAN: Hybrid Flow Matching and GAN with Multi-Resolution Network for Few-Step High-Fidelity Audio Generation
Zengwei Yao, Wei Kang, Han Zhu, Liyong Guo, Lingxuan Ye, Fangjun Kuang, Weiji Zhuang, Zhaoqing Li, Zhifeng Han, Long Lin, Daniel Povey FlowAD: Ego-Scene Interactive Modeling for Autonomous Driving
Mingzhe Guo, Yixiang Yang, Chuanrong Han, Rufeng Zhang, Shirui Li, Ji Wan, Zhipeng Zhang FlowCast: Trajectory Forecasting for Scalable Zero-Cost Speculative Flow Matching
Divya Jyoti Bajpai, Shubham Agarwal, Apoorv Saxena, Kuldeep Kulkarni, Subrata Mitra, Manjesh Kumar Hanawal FlowNIB: An Information Bottleneck Analysis of Bidirectional vs. Unidirectional Language Models
Md Kowsher, Nusrat Jahan Prottasha, Shiyun Xu, Shetu Mohanto, Niloofar Yousefi, Ozlem Garibay, Chen Chen FlowRL: Matching Reward Distributions for LLM Reasoning
Xuekai Zhu, Daixuan Cheng, Dinghuai Zhang, Hengli Li, Kaiyan Zhang, Che Jiang, Youbang Sun, Ermo Hua, Yuxin Zuo, Xingtai Lv, Qizheng Zhang, Lin Chen, Fanghao Shao, Bo Xue, Yunchong Song, Zhenjie Yang, Ganqu Cui, Ning Ding, Jianfeng Gao, Xiaodong Liu, Bowen Zhou, Hongyuan Mei, Zhouhan Lin FlowSearcher: Synthesizing Memory-Guided Agentic Workflows for Web Information Seeking
Keyi Xiang, Zeyu Feng, Zhuoyi Lin, Yueming Lyu, Shi Boyuan, Yew-Soon Ong, Ivor Tsang, Haiyan Yin FLUX-Reason-6m & PRISM-Bench: A Million-Scale Text-to-Image Reasoning Dataset and Comprehensive Benchmark
Rongyao Fang, Aldrich Yu, Chengqi Duan, Linjiang Huang, Shuai Bai, Yuxuan Cai, Kun Wang, Si Liu, Xihui Liu, Hongsheng Li FM4NPP: A Scaling Foundation Model for Nuclear and Particle Physics
David Keetae Park, Shuhang Li, Yi Huang, Xihaier Luo, Haiwang Yu, Yeonju Go, Christopher Pinkenburg, Yuewei Lin, Shinjae Yoo, Joseph D. Osborn, Jin Huang, Yihui Ren FMIP: Joint Continuous-Integer Flow for Mixed-Integer Linear Programming
Hongpei Li, Hui Yuan, Han Zhang, Jianghao Lin, Dongdong Ge, Mengdi Wang, Yinyu Ye FOCUS: Efficient Keyframe Selection for Long Video Understanding
Zirui Zhu, Hailun Xu, Yang Luo, Yong Liu, Kanchan Sarkar, Zhenheng Yang, Yang You Follow-Your-Shape: Shape-Aware Image Editing via Trajectory-Guided Region Control
Zeqian Long, Mingzhe Zheng, Kunyu Feng, Xinhua Zhang, Hongyu Liu, Harry Yang, Linfeng Zhang, Qifeng Chen, Yue Ma FoNE: Precise Single-Token Number Embeddings via Fourier Features
Tianyi Zhou, Deqing Fu, Mahdi Soltanolkotabi, Robin Jia, Vatsal Sharan Fore-Mamba3D: Mamba-Based Foreground-Enhanced Encoding for 3D Object Detection
Zhiwei Ning, Xuanang Gao, Jiaxi Cao, Runze Yang, Huiying Xu, Xinzhong Zhu, Jie Yang, Wei Liu Forest-Based Graph Learning for Semi-Supervised Node Classification
Jin Li, Shenghao Gao, Kaichen Zhang, Xinlong Chen, Ying Sun, Hui Xiong ForestPersons: A Large-Scale Dataset for Under-Canopy Missing Person Detection
Deokyun Kim, Jeongjun Lee, Jungwon Choi, Jonggeon Park, Giyoung Lee, Yookyung Kim, Myungseok Ki, Juho Lee, Jihun Cha Forget Forgetting: Continual Learning in a World of Abundant Memory
Dongkyu Cho, Taesup Moon, Rumi Chunara, Kyunghyun Cho, Sungmin Cha FormalML: A Benchmark for Evaluating Formal Subgoal Completion in Machine Learning Theory
Xiao-Wen Yang, Zihao Zhang, Jianuo Cao, Zhi Zhou, Zenan Li, Lan-Zhe Guo, Yuan Yao, Taolue Chen, Yu-Feng Li, Xiaoxing Ma Fostering Video Reasoning via Next-Event Prediction
Haonan Wang, Hongfu Liu, Xiangyan Liu, Chao Du, Kenji Kawaguchi, Ye Wang, Tianyu Pang Foundation Visual Encoders Are Secretly Few-Shot Anomaly Detectors
Guangyao Zhai, Yue Zhou, Xinyan Deng, Lars Heckler-Kram, Nassir Navab, Benjamin Busam FRABench and UFEval: Unified Fine-Grained Evaluation with Task and Aspect Generalization
Shibo Hong, Jiahao Ying, Haiyuan Liang, Mengdi Zhang, Jun Kuang, Jiazheng Zhang, Yixin Cao Fractional-Order Spiking Neural Network
Chengjie Ge, Yufeng Peng, Zihao Li, Qiyu Kang, Xueyang Fu, Xuhao Li, Qixin Zhang, Ren Junhao, Zheng-Jun Zha Frame Guidance: Training-Free Guidance for Frame-Level Control in Video Diffusion Models
Sangwon Jang, Taekyung Ki, Jaehyeong Jo, Jaehong Yoon, Soo Ye Kim, Zhe Lin, Sung Ju Hwang Frayed RoPE and Long Inputs: A Geometric Perspective
Davis Wertheimer, Aozhong Zhang, Derrick Liu, Penghang Yin, Naigang Wang FREAK: A Fine-Grained Hallucination Evaluation Benchmark for Advanced MLLMs
Zhihan Yin, Jianxin Liang, Yueqian Wang, Yifeng Yao, Huishuai Zhang, Dongyan Zhao Free Energy Mixer
Jiecheng Lu, Shihao Yang FreeKV: Boosting KV Cache Retrieval for Efficient LLM Inference
Guangda Liu, Chengwei Li, Zhenyu Ning, Jing Lin, Yiwu Yao, Danning Ke, Minyi Guo, Jieru Zhao FreqKV: Key-Value Compression in Frequency Domain for Context Window Extension
Jushi Kai, Yixuan Wang, Boyi Zeng, Haoli Bai, Bo Jiang, Ziwei He, Zhouhan Lin Frequency-Aware Dynamic Gaussian Splatting
Qiaowei Miao, JinSheng Quan, Kehan Li, Yichao Xu, Yi Yang, Yawei Luo FRIEDA: Benchmarking Multi-Step Cartographic Reasoning in Vision-Language Models
Jiyoon Pyo, Yuankun Jiao, Dongwon Jung, Zekun Li, Leeje Jang, Sofia Kirsanova, Jina Kim, Yijun Lin, Qin Liu, Junyi Xie, Hadi Askari, Nan Xu, Muhao Chen, Yao-Yi Chiang From Abstract to Contextual: What LLMs Still Cannot Do in Mathematics
Bowen Cao, Dongdong Zhang, Yixia Li, Junpeng Liu, Shijue Huang, Chufan Shi, Hongyuan Lu, Yaokang Wu, Guanhua Chen, Wai Lam, Furu Wei From Assistant to Independent Developer — Are GPTs Ready for Software Development?
Dezhi Ran, Yuan Cao, Mengzhou Wu, Simin Chen, Yuzhe Guo, Jun Ren, Zihe Song, Hao Yu, Jialei Wei, Linyi Li, Wei Yang, Baishakhi Ray, Tao Xie From Collapse to Control: Understanding and Extending Context Length in Emerging Hybrid Models via Universal Position Interpolation
Haochen Shen, Davis Wertheimer, Zheng Wang, Garrett Goon, Derrick Liu, Naigang Wang, Mudhakar Srivatsa, Raghu K. Ganti, Minjia Zhang From Conversation to Query Execution: Benchmarking User and Tool Interactions for EHR Database Agents
Gyubok Lee, Woosog Chay, Heeyoung Kwak, Yeong Hwa Kim, Haanju Yoo, Oksoon Jeong, Meong Hi Son, Edward Choi From Data Statistics to Feature Geometry: How Correlations Shape Superposition
Lucas Prieto, Edward Stevinson, Melih Barsbey, Tolga Birdal, Pedro A. M. Mediano From F(x) and G(x) to F(g(x)): LLMs Learn New Skills in RL by Composing Old Ones
Lifan Yuan, Weize Chen, Yuchen Zhang, Ganqu Cui, Hanbin Wang, Ziming You, Ning Ding, Zhiyuan Liu, Maosong Sun, Hao Peng From Fields to Random Trees
Yaomin Wang, Xiaodong Luo, Tianshu Yu From Language to Locomotion: Retargeting-Free Humanoid Control via Motion Latent Guidance
Zhe Li, Yangyang Wei, Boan Zhu, Yibo Peng, Tao Huang, Pengwei Wang, Zhongyuan Wang, Cheng Chi, Chang Xu, Shanghang Zhang From Markov to Laplace: How Mamba In-Context Learns Markov Chains
Marco Bondaschi, Nived Rajaraman, Xiuying Wei, Razvan Pascanu, Caglar Gulcehre, Michael Gastpar, Ashok Vardhan Makkuva From Narrow to Panoramic Vision: Attention-Guided Cold-Start Reshapes Multimodal Reasoning
Ruilin Luo, Chufan Shi, Yizhen Zhang, Cheng Yang, Songtao Jiang, Tongkun Guan, Ruizhe Chen, Ruihang Chu, Peng Wang, Mingkun Yang, Lei Wang, Yujiu Yang, Junyang Lin, Zhibo Yang From Natural Alignment to Conditional Controllability in Multimodal Dialogue
Zeyu Jin, Songtao Zhou, Haoyu Wang, Minghao Tian, Kaifeng Yun, Zhuo Chen, Xiaoyu Qin, Jia Jia From Pixels to Words -- Towards Native Vision-Language Primitives at Scale
Haiwen Diao, Mingxuan Li, Silei Wu, Linjun Dai, Xiaohua Wang, Hanming Deng, Lewei Lu, Dahua Lin, Ziwei Liu From Seeing to Doing: Bridging Reasoning and Decision for Robotic Manipulation
Yifu Yuan, Haiqin Cui, Yibin Chen, Zibin Dong, Fei Ni, Longxin Kou, Jinyi Liu, Pengyi Li, Yan Zheng, Jianye Hao From Single to Multi-Granularity: Toward Long-Term Memory Association and Selection of Conversational Agents
Derong Xu, Yi Wen, Pengyue Jia, Yingyi Zhang, Wenlin Zhang, Yichao Wang, Huifeng Guo, Ruiming Tang, Xiangyu Zhao, Enhong Chen, Tong Xu From Spatial to Actions: Grounding Vision-Language-Action Model in Spatial Foundation Priors
Zhengshen Zhang, Hao Li, Yalun Dai, Zhengbang Zhu, Lei Zhou, Chenchen Liu, Dong Wang, Francis E. H. Tay, Sijin Chen, Ziwei Liu, Yuxiao Liu, Xinghang Li, Pan Zhou From Text to Talk: Audio-Language Model Needs Non-Autoregressive Joint Training
Tianqiao Liu, Xueyi Li, Hao Wang, Haoxuan Li, Zhichao Chen, Weiqi Luo, Zitao Liu From Tokens to Nodes: Semantic-Guided Motion Control for Dynamic 3D Gaussian Splatting
Jianing Chen, Zehao Li, Yujun Cai, Hao Jiang, Shuqin Gao, Honglong Zhao, Tianlu Mao, Yucheng Zhang Front-Loading Reasoning: The Synergy Between Pretraining and Post-Training Data
Syeda Nahida Akter, Shrimai Prabhumoye, Eric Nyberg, Mostofa Patwary, Mohammad Shoeybi, Yejin Choi, Bryan Catanzaro FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models
Amin Karimi Monsefi, Nikhil Bhendawade, Manuel Rafael Ciosici, Dominic Culver, Yizhe Zhang, Irina Belousova FSOD-VFM: Few-Shot Object Detection with Vision Foundation Models and Graph Diffusion
Chen-Bin Feng, Youyang Sha, Longfei Liu, Yongjun Yu, Chi Man Vong, Xuanlong Yu, Xi Shen FSPO: Few-Shot Optimization of Synthetic Preferences Effectively Personalizes to Real Users
Anikait Singh, Sheryl Hsu, Kyle Hsu, Eric Mitchell, Stefano Ermon, Tatsunori Hashimoto, Archit Sharma, Chelsea Finn FullPart: Generating Each 3D Part at Full Resolution
Lihe Ding, Shaocong Dong, Yaokun Li, Chenjian Gao, Xiao Chen, Rui Han, Yihao Kuang, Hong Zhang, Bo Huang, Zhanpeng Huang, Zibin Wang, Dan Xu, Tianfan Xue Fused-Planes: Why Train a Thousand Tri-Planes When You Can Share?
Karim Kassab, Antoine Schnepf, Jean-Yves Franceschi, Laurent Caraffa, Flavian Vasile, Jeremie Mary, Andrew I. Comport, Valerie Gouet-Brunet Fusing Pixels and Genes: Spatially-Aware Learning in Computational Pathology
Minghao Han, Dingkang Yang, Linhao Qu, Zizhi Chen, Gang Li, Han Wang, Jiacong Wang, Lihua Zhang FutureFill: Fast Generation from Convolutional Sequence Models
Naman Agarwal, Xinyi Chen, Evan Dogariu, Devan Shah, Hubert Strauss, Vladimir Feinberg, Daniel Suo, Peter Bartlett, Elad Hazan FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction
Zhiyuan Zeng, Jiashuo Liu, Siyuan Chen, Tianci He, Yali Liao, Yixiao Tian, Wangjinpeng.Levi, Zaiyuan Wang, YangYang, Lingyue Yin, Mingren Yin, Zhu Zhenwei, Tianle Cai, Xinjie Chen, Zehui Chen, Jiecao Chen, Yantao Du, Xiang Gao, Jiacheng Guo, Liang Hu, Jianpeng Jiao, Xiangsheng Li, Jingkai Liu, Nishuang, Zhoufutu Wen, Ge Zhang, Kaiyuan Zhang, 周欣, Jose Blanchet, Xipeng Qiu, Mengdi Wang, Wenhao Huang G-Reasoner: Foundation Models for Unified Reasoning over Graph-Structured Knowledge
Linhao Luo, Zicheng Zhao, Junnan Liu, Zhangchi Qiu, Junnan Dong, Serge Panev, Chen Gong, Thuy-Trang Vu, Gholamreza Haffari, Dinh Phung, Alan Wee-Chung Liew, Shirui Pan G4Splat: Geometry-Guided Gaussian Splatting with Generative Prior
Junfeng Ni, Yixin Chen, Zhifei Yang, Yu Liu, Ruijie Lu, Song-Chun Zhu, Siyuan Huang Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous Environments
Romain Froger, Pierre Andrews, Matteo Bettini, Amar Budhiraja, Ricardo Silveira Cabral, Virginie Do, Emilien Garreau, Jean-Baptiste Gaya, Hugo Laurençon, Maxime Lecanu, Kunal Malkan, Dheeraj Mekala, Pierre Menard, Gerard Moreno-Torres Bertran, Ulyana Piterbarg, Mikhail Plekhanov, Mathieu Rita, Andrey Rusakov, Vladislav Vorotilov, Mengjue Wang, Ian Yu, Amine Benhalloum, Grégoire Mialon, Thomas Scialom Game-RL: Synthesizing Multimodal Verifiable Game Data to Boost VLMs' General Reasoning
Jingqi Tong, Jixin Tang, Hangcheng Li, Yurong Mou, Ming Zhang, Jun Zhao, Yanbo Wen, Fan Song, Jiahao Zhan, Yuyang Lu, Chaoran Tao, Zhiyuan Guo, Jizhou Yu, Tianhao Cheng, Zhiheng Xi, Changhao Jiang, Zhangyue Yin, Yining Zheng, Weifeng Ge, Guanhua Chen, Tao Gui, Xipeng Qiu, Qi Zhang, Xuanjing Huang GarmentGPT: Compositional Garment Pattern Generation via Discrete Latent Tokenization
Fangsheng Weng, Junhao Chen, Xiang Li, Jie Qin, Hanzhong Guo, ShaochunHao, Xiaoguang Han GAS: Improving Discretization of Diffusion ODEs via Generalized Adversarial Solver
Aleksandr Oganov, Ilya Bykov, Eva Neudachina, Mishan Aliev, Alexander Tolmachev, Alexander Sidorov, Zuev Aleksandr, Andrey Okhotin, Denis Rakitin, Aibek Alanov GaussianFusion: Unified 3D Gaussian Representation for Multi-Modal Fusion Perception
Xiao Zhao, Chang Liu, Mingxu Zhu, Zheyuan Zhang, Linna Song, Qingliang Luo, Chufan Guo, Kuifeng Su GAVEL: Towards Rule-Based Safety Through Activation Monitoring
Shir Rozenfeld, Rahul Pankajakshan, Itay Zloczower, Eyal Lenga, Gilad Gressel, Yisroel Mirsky GDGB: A Benchmark for Generative Dynamic Text-Attributed Graph Learning
Jie Peng, Jiarui Ji, Runlin Lei, Zhewei Wei, Yongchao Liu, Chuntao Hong GDPval: Evaluating AI Model Performance on Real-World Economically Valuable Tasks
Tejal Patwardhan, Rachel Dias, Elizabeth Proehl, Grace Kim, Michele Wang, Olivia Watkins, Simon Posada Fishman, Marwan Aljubeh, Phoebe Thacker, Laurance Fauconnet, Natalie S. Kim, Samuel Miserendino, Gildas Chabot, David Li, Patrick Chao, Michael Sharman, Alexandra Barr, Amelia Glaese, Jerry Tworek GEM: A Gym for Generalist LLMs
Zichen Liu, Anya Sims, Keyu Duan, Changyu Chen, Simon Yu, Xiangxin Zhou, Haotian Xu, Shaopan Xiong, Bo Liu, Chenmien Tan, Weixun Wang, Hao Zhu, Weiyan Shi, Diyi Yang, Michael Qizhe Shieh, Yee Whye Teh, Wee Sun Lee, Min Lin Gen-DFL: Decision-Focused Generative Learning for Robust Decision Making
Prince Zizhuang Wang, Shuyi Chen, Jinhao Liang, Ferdinando Fioretto, Shixiang Zhu GenCompositor: Generative Video Compositing with Diffusion Transformer
Shuzhou Yang, Xiaoyu Li, Xiaodong Cun, Guangzhi Wang, Lingen Li, Ying Shan, Jian Zhang GenCP: Towards Generative Modeling Paradigm of Coupled Physics
Tianrun Gao, Haoren Zheng, Wenhao Deng, Haodong Feng, Tao Zhang, Ruiqi Feng, Qianyi Chen, Tailin Wu GenCtrl -- a Formal Controllability Toolkit for Generative Models
Emily Cheng, Carmen Amo Alonso, Federico Danieli, Arno Blaas, Luca Zappella, Pau Rodriguez, Xavier Suau GenDR: Lighten Generative Detail Restoration
Yan Wang, Shijie Zhao, Kexin Zhang, Junlin Li, Li Zhang Generalised Flow Maps for Few-Step Generative Modelling on Riemannian Manifolds
Oscar Davis, Michael Samuel Albergo, Nicholas Matthew Boffi, Michael M. Bronstein, Joey Bose Generalizable End-to-End Tool-Use RL with Synthetic CodeGym
Weihua Du, Hailei Gong, Zhan Ling, Kang Liu, Lingfeng Shen, Xuesong Yao, Yufei Xu, Dingyuan Shi, Yiming Yang, Jiecao Chen Generalizable Heuristic Generation Through LLMs with Meta-Optimization
Yiding Shi, Jianan Zhou, Wen Song, Jieyi Bi, Yaoxin Wu, Zhiguang Cao, Jie Zhang Generalization of RLVR Using Causal Reasoning as a Testbed
Brian Lu, Hongyu Zhao, Shuo Sun, Hao Peng, Rui Ding, Hongyuan Mei Generalized Parallel Scaling with Interdependent Generations
Harry Dong, David Brandfonbrener, Eryk Helenowski, Yun He, Mrinal Kumar, Han Fang, Yuejie Chi, Karthik Abinav Sankararaman Generating Directed Graphs with Dual Attention and Asymmetric Encoding
Alba Carballo-Castro, Manuel Madeira, Yiming Qin, Dorina Thanou, Pascal Frossard Generating Metamers of Human Scene Understanding
Ritik Raina, Abe Leite, Alexandros Graikos, Seoyoung Ahn, Dimitris Samaras, Greg Zelinsky Generative Adversarial Post-Training Mitigates Reward Hacking in Live Human-AI Music Interaction
Yusong Wu, Stephen Brade, Teng Ma, Tia-Jane Fowler, Enning Yang, Berker Banar, Aaron Courville, Natasha Jaques, Cheng-Zhi Anna Huang Generative Blocks World: Moving Things Around in Pictures
Vaibhav Vavilala, Seemandhar Jain, Rahul Vasanth, David Forsyth, Anand Bhattad Generative Diffusion Prior Distillation for Long-Context Knowledge Transfer
Hewa Dehigahawattage Nilushika Udayangani, Nandakishor Desai, Marimuthu Palaniswami Generative Human Geometry Distribution
Xiangjun Tang, Biao Zhang, Peter Wonka Generative Universal Verifier as Multimodal Meta-Reasoner
Xinchen Zhang, Xiaoying Zhang, Youbin Wu, Yanbin Cao, Renrui Zhang, Ruihang Chu, Ling Yang, Yujiu Yang, Guang Shi Generative Value Conflicts Reveal LLM Priorities
Andy Liu, Kshitish Ghate, Mona T. Diab, Daniel Fried, Atoosa Kasirzadeh, Max Kleiman-Weiner Generative View Stitching
Chonghyuk Song, Michal Stary, Boyuan Chen, George Kopanas, Vincent Sitzmann Genie Envisioner: A Unified World Foundation Platform for Robotic Manipulation
Yue Liao, Pengfei Zhou, Siyuan Huang, Donglin Yang, Shengcong Chen, Yuxin Jiang, Yue Hu, Si Liu, Jianlan Luo, Liliang Chen, Shuicheng Yan, Maoqing Yao, Guanghui Ren GeoBench: Rethinking Multimodal Geometric Problem-Solving via Hierarchical Evaluation
Yuan Feng, Yue Yang, Xiaohan He, Jiatong Zhao, Jianlong Chen, Daocheng Fu, Qi Liu, Renqiu Xia, Bo Zhang, Junchi Yan GeoDiv: Framework for Measuring Geographical Diversity in Text-to-Image Models
Abhipsa Basu, Mohana Singh, Shashank Agnihotri, Margret Keuper, Venkatesh Babu Radhakrishnan Geometric Image Editing via Effects-Sensitive In-Context Inpainting with Diffusion Transformers
Shuo Zhang, Wenzhuo Wu, Huayu Zhang, Jiarong Cheng, Xianghao Zang, Chao Ban, Hao Sun, Zhongjiang He, Tianwei Cao, Kongming Liang, Zhanyu Ma Geometric-Mean Policy Optimization
Yuzhong Zhao, Yue Liu, Junpeng Liu, Jingye Chen, Xun Wu, Yaru Hao, Tengchao Lv, Shaohan Huang, Lei Cui, Qixiang Ye, Fang Wan, Furu Wei Geometry-Aware 4D Video Generation for Robot Manipulation
Zeyi Liu, Shuang Li, Eric Cousineau, Siyuan Feng, Benjamin Burchfiel, Shuran Song Geometry-Aware Policy Imitation
Yiming Li, Nael Darwiche, Amirreza Razmjoo, Sichao Liu, Yilun Du, Auke Ijspeert, Sylvain Calinon GeomMotif: A Benchmark for Arbitrary Geometric Preservation in Protein Generation
Pavel Strashnov, Andrey Shevtsov, Viacheslav Meshchaninov, Olga Kardymon, Dmitry Vetrov GEPA: Reflective Prompt Evolution Can Outperform Reinforcement Learning
Lakshya A Agrawal, Shangyin Tan, Dilara Soylu, Noah Ziems, Rishi Khare, Krista Opsahl-Ong, Arnav Singhvi, Herumb Shandilya, Michael J Ryan, Meng Jiang, Christopher Potts, Koushik Sen, Alex Dimakis, Ion Stoica, Dan Klein, Matei Zaharia, Omar Khattab GEPO: Group Expectation Policy Optimization for Stable Heterogeneous Reinforcement Learning
Han Zhang, RuibinZheng, Zexuan Yi, Zhuo Zhang, Hanyang Peng, Hui Wang, Jiayin Qi, Binxing Fang, Ruifeng Xu, Yue Yu Get RICH or Die Scaling: Profitably Trading Inference Compute for Robustness
Tavish Malcolm McDonald, Bo Lei, Stanislav Fort, Bhavya Kailkhura, Brian R. Bartoldson Getting Your LLMs Ready for Reinforcement Learning with Lightweight SFT
Xinran Li, Guangda Huzhang, Siqi Shen, Qing-Guo Chen, Zhao Xu, Weihua Luo, Kaifu Zhang, Jun Zhang GGBall: Graph Generative Model on Poincaré Ball
Tianci Bu, Chuanrui Wang, Hao Ma, Haoren Zheng, Xin Lu, Tailin Wu GHOST: Hallucination-Inducing Image Generation for Multimodal LLMs
Aryan Yazdan Parast, Parsa Hosseini, Hesam Asadollahzadeh, Arshia Soltani Moakhar, Basim Azam, Soheil Feizi, Naveed Akhtar GhostEI-Bench: Do Mobile Agent Resilience to Environmental Injection in Dynamic On-Device Environments?
Chiyu Chen, Xinhao Song, Yunkai Chai, Yang Yao, Haodong Zhao, Lijun Li, Jie Li, Yan Teng, Gongshen Liu, Yingchun Wang GIQ: Benchmarking 3D Geometric Reasoning of Vision Foundation Models with Simulated and Real Polyhedra
Mateusz Michalkiewicz, Anekha Sokhal, Tadeusz Michalkiewicz, Piotr Pawlikowski, Mahsa Baktashmotlagh, Varun Jampani, Guha Balakrishnan GIR-Bench: Versatile Benchmark for Generating Images with Reasoning
Hongxiang Li, Yaowei Li, Bin Lin, Yuwei Niu, Yuhang Yang, Xiaoshuang Huang, Jiayin Cai, Xiaolong Jiang, Yao Hu, Long Chen Gistify: Codebase-Level Understanding via Runtime Execution
Hyunji Lee, Minseon Kim, Chinmay Singh, Matheus Pereira, Atharv Sonwane, Isadora White, Elias Stengel-Eskin, Mohit Bansal, Zhengyan Shi, Alessandro Sordoni, Marc-Alexandre Côté, Xingdi Yuan, Lucas Caccia GLASS Flows: Efficient Inference for Reward Alignment of Flow and Diffusion Models
Peter Holderrieth, Uriel Singer, Tommi Jaakkola, Ricky T. Q. Chen, Yaron Lipman, Brian Karrer GlobeDiff: State Diffusion Process for Partial Observability in Multi-Agent System
Yiqin Yang, Xu Yang, Yuhua Jiang, Ni Mu, Hao Hu, Runpeng Xie, Ziyou Zhang, Siyuan Li, Yuan-Hua Ni, Qianchuan Zhao, Bo Xu gLSTM: Mitigating Over-Squashing by Increasing Storage Capacity
Hugh Blayney, Alvaro Arroyo, Xiaowen Dong, Michael M. Bronstein GmNet: Revisiting Gating Mechanisms from a Frequency View
Yifan Wang, Xu Ma, Yitian Zhang, Yizhou Wang, Zhongruo Wang, Sung-Cheol Kim, Vahid Mirjalili, Vidya Renganathan, Yun Fu GneissWeb: Preparing High Quality Data for LLMs at Scale
Hajar Emami Gohari, Swanand Ravindra Kadhe, Yousaf Shah, Constantin M Adam, Abdulhamid Adebayo, Praneet Adusumilli, Farhan Ahmed, Nathalie Baracaldo, Santosh Subhashrao Borse, Yuan-Chi Chang, Xuan-Hong Dang, Nirmit Desai, Revital Eres, Ran Iwamoto, Alexei A. Karve, Yan Koyfman, Wei-Han Lee, Changchang Liu, Boris Lublinsky, Takuya Ohko, Pablo Pesce, Maroun Touma, Shiqiang Wang, Shalisha Witherspooon, Herbert Woisetschläger, David Wood, Kun-Lung Wu, Issei Yoshida, Syed Zawad, Petros Zerfos, Yi Zhou, Bishwaranjan Bhattacharjee GNN Explanations That Do Not Explain and How to Find Them
Steve Azzolin, Stefano Teso, Bruno Lepri, Andrea Passerini, Sagar Malhotra Go Beyond Earth: Understanding Human Actions and Scenes in Microgravity Environments
Di Wen, Lei Qi, Kunyu Peng, Kailun Yang, Fei Teng, Ao Luo, Jia Fu, Yufan Chen, Ruiping Liu, Yitian Shi, M. Saquib Sarfraz, Rainer Stiefelhagen Goal-Aware Identification and Rectification of Misinformation in Multi-Agent Systems
Zherui Li, Yan Mi, Zhenhong Zhou, Houcheng Jiang, Guibin Zhang, Kun Wang, Junfeng Fang GoalRank: Group-Relative Optimization for a Large Ranking Model
Kaike Zhang, Xiaobei Wang, Shuchang Liu, HailanYang, Xiang Li, Lantao Hu, Han Li, Qi Cao, Fei Sun, Kun Gai Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction
Yong Lin, Shange Tang, Bohan Lyu, Ziran Yang, Jui-Hui Chung, Haoyu Zhao, Lai Jiang, Yihan Geng, Jiawei Ge, Jingruo Sun, Jiayun Wu, Jiri Gesi, Ximing Lu, David Acuna, Kaiyu Yang, Hongzhou Lin, Yejin Choi, Danqi Chen, Sanjeev Arora, Chi Jin GoR: A Unified and Extensible Generative Framework for Ordinal Regression
Hongxu Ma, Han Zhou, Kai Tian, Xuefeng Zhang, Chunjie Chen, Han Li, Jihong Guan, Shuigeng Zhou GoT-R1: Unleashing Reasoning Capability of Autoregressive Visual Generation with Reinforcement Learning
Chengqi Duan, Rongyao Fang, Yuqing Wang, Kun Wang, Linjiang Huang, Xingyu Zeng, Hongsheng Li, Xihui Liu GPS: Graph-Guided Proactive Information Seeking in Large Language Models
Ruiqing Li, Yifeng Xu, Xinke Jiang, Zhibang Yang, Xinyu Ma, Yue Fang, Junfeng Zhao, Yasha Wang, Xu Chu GRACE: Generative Representation Learning via Contrastive Policy Optimization
Jiashuo Sun, Shixuan Liu, Zhaochen Su, Xianrui Zhong, Pengcheng Jiang, Bowen Jin, Peiran Li, Weijia Shi, Jiawei Han Gradient-Direction-Aware Density Control for 3D Gaussian Splatting
Zheng Zhou, Yu-Jie Xiong, Jia-Chen Zhang, Chun-Ming Xia, Xihe Qiu, Hongjian Zhan Gradient-Sign Masking for Task Vector Transport Across Pre-Trained Models
Filippo Rinaldi, Aniello Panariello, Giacomo Salici, Fengyuan Liu, Marco Ciccone, Angelo Porrello, Simone Calderara GRAM-DTI: Adaptive Multimodal Representation Learning for Drug–Target Interaction Prediction
Feng Jiang, Amina Mollaysa, Hehuan Ma, Yuzhi Guo, Tommaso Mansi, Junzhou Huang, Mangal Prakash, Rui Liao GranViT: A Fine-Grained Vision Model for Autoregressive Multimodal Large Language Models
Guanghao Zheng, Bowen Shi, Mingxing Xu, Ruoyu Sun, Peisen Zhao, ZhiboZhang, Wenrui Dai, Junni Zou, Hongkai Xiong, Xiaopeng Zhang, Qi Tian Graph Diffusion Transformers Are In-Context Molecular Designers
Gang Liu, Jie Chen, Yihan Zhu, Michael Sun, Tengfei Luo, Nitesh V Chawla, Meng Jiang Graph Random Features for Scalable Gaussian Processes
Matthew Zhang, Jihao Andreas Lin, Krzysztof Marcin Choromanski, Adrian Weller, Richard E. Turner, Isaac Reid Graph Representational Learning: When Does More Expressivity Hurt Generalization?
Sohir Maskey, Raffaele Paolino, Fabian Jogl, Gitta Kutyniok, Johannes F. Lutzeyer Graph-of-Agents: A Graph-Based Framework for Multi-Agent LLM Collaboration
Sukwon Yun, Jie Peng, Pingzhi Li, Wendong Fan, Jie Chen, James Zou, Guohao Li, Tianlong Chen Graph-Theoretic Intrinsic Reward: Guiding RL with Effective Resistance
Jatin Chauhan, Shivam Bhardwaj, Aditya Saibewar, Aditya Ramesh, Sadbhavana Babar, Manohar Kaul GraphOmni: A Comprehensive and Extensible Benchmark Framework for Large Language Models on Graph-Theoretic Tasks
Hao Xu, Xiangru Jian, Xinjian Zhao, Wei Pang, Chao Zhang, Suyuchen Wang, Qixin Zhang, Zhengyuan Dong, Joao Monteiro, Bang Liu, Qiuzhuang Sun, Tianshu Yu Grasp Any Region: Towards Precise, Contextual Pixel Understanding for Multimodal LLMs
Haochen Wang, Yuhao Wang, Tao Zhang, Yikang Zhou, Yanwei Li, Jiacong Wang, Jiani Zheng, Ye Tian, Jiahao Meng, Zilong Huang, Guangcan Mai, Anran Wang, Yunhai Tong, Zhuochen Wang, Xiangtai Li, Zhaoxiang Zhang Ground Slow, Move Fast: A Dual-System Foundation Model for Generalizable Vision-Language Navigation
Meng Wei, Chenyang Wan, Jiaqi Peng, Xiqian Yu, Yuqiang Yang, Delin Feng, Wenzhe Cai, Chenming Zhu, Tai Wang, Jiangmiao Pang, Xihui Liu Grounding and Enhancing Informativeness and Utility in Dataset Distillation
Shaobo Wang, Yantai Yang, Guo Chen, Peiru Li, Kaixin Li, Yufa Zhou, Zhaorun Chen, Linfeng Zhang Grounding Computer Use Agents on Human Demonstrations
Aarash Feizi, Shravan Nayak, Xiangru Jian, Kevin Qinghong Lin, Kaixin Li, Rabiul Awal, Xing Han Lù, Johan Obando-Ceron, Juan A. Rodriguez, Nicolas Chapados, David Vazquez, Adriana Romero-Soriano, Reihaneh Rabbany, Perouz Taslakian, Christopher Pal, Spandana Gella, Sai Rajeswar Grounding or Guessing? Visual Signals for Detecting Hallucinations in Sign Language Translation
Yasser Hamidullah, Koel Dutta Chowdhury, Yusser Al Ghussin, Shakib Yazdani, Cennet Oguz, Josef van Genabith, Cristina España-Bonet Grounding-IQA: Grounding Multimodal Language Model for Image Quality Assessment
Zheng Chen, Xun Zhang, Wenbo Li, Renjing Pei, Fenglong Song, Xiongkuo Min, Xiaohong Liu, Xin Yuan, Yong Guo, Yulun Zhang Group Critical-Token Policy Optimization for Autoregressive Image Generation
Guohui Zhang, Hu Yu, Xiaoxiao Ma, JingHao Zhang, Yaning Pan, Mingde Yao, Jie Xiao, Linjiang Huang, Jie Huang, Feng Zhao Group Representational Position Encoding
Yifan Zhang, Zixiang Chen, Yifeng Liu, Zhen Qin, Huizhuo Yuan, Kangping Xu, Yang Yuan, Quanquan Gu, Andrew C Yao Group Verification-Based Policy Optimization for Interactive Coding Agents
Silong Dai, Changzhi Sun, Haolun Wu, Huanran Zheng, Tao Ji, Junchi Yan, Yuanbin Wu, Dell Zhang, Xiaoling Wang, Xuelong Li Group-Normalized Implicit Value Optimization for Language Models
Yunseon Choi, Junyoung Jang, Chaeyoung Oh, Minchan Jeong, Doo Hwan Hwang, Kee-Eung Kim GTA1: GUI Test-Time Scaling Agent
Yan Yang, Dongxu Li, Yutong Dai, Yuhao Yang, Ziyang Luo, Zirui Zhao, Zhiyuan Hu, Junzhe Huang, Amrita Saha, Zeyuan Chen, Ran Xu, Liyuan Pan, Caiming Xiong, Junnan Li GTM: A General Time-Series Model for Enhanced Representation Learning of Time-Series Data
Cheng He, Xu Huang, Gangwei Jiang, Zhaoyi Li, Defu Lian, Hong Xie, Enhong Chen, Xijie Liang, Zhengzengrong, Patrick Lee GTool: Graph Enhanced Tool Planning with Large Language Model
Wenjie Chen, Di Yao, Wenbin Li, Xuying Meng, Chang Gong, Jingping Bi GTR-Bench: Evaluating Geo-Temporal Reasoning in Vision-Language Models
Qinghongbing Xie, Zhaoyuan Xia, Feng Zhu, Lijun Gong, Ziyue Li, Rui Zhao, Long Zeng GuardAlign: Test-Time Safety Alignment in Multimodal Large Language Models
Xingyu Zhu, Beier Zhu, Junfeng Fang, Shuo Wang, Yin Zhang, Xiang Wang, Xiangnan He Guidance Matters: Rethinking the Evaluation Pitfall for Text-to-Image Generation
Dian Xie, Shitong Shao, Lichen Bai, Zikai Zhou, Bojun Cheng, Shuo Yang, Wu Jun, Zeke Xie Guidance Watermarking for Diffusion Models
Enoal Gesny, Eva Giboulot, Teddy Furon, Vivien Chappelier Guided Flow Policy: Learning from High-Value Actions in Offline Reinforcement Learning
Franki NGUIMATSIA Tiofack, Théotime Le Hellard, Fabian Schramm, Nicolas Perrin-Gilbert, Justin Carpentier H-MINT: Modeling Pocket-Ligand Binding with Hierarchical Molecular Interaction Network
Yanru Qu, Yijie Zhang, Wenjuan Tan, Xiangzhe Kong, Xiangxin Zhou, Chaoran Cheng, Mathieu Blanchette, Jiaxuan You, Ge Liu H$^3$DP: Triply‑Hierarchical Diffusion Policy for Visuomotor Learning
Yiyang Lu, Yufeng Tian, Zhecheng Yuan, Xianbang Wang, Pu Hua, Zhengrong Xue, Huazhe Xu HackWorld: Evaluating Computer-Use Agents on Exploiting Web Application Vulnerabilities
Xiaoxue Ren, Penghao Jiang, Kaixin Li, Zhiyong Huang, Xiaoning Du, Jiaojiao Jiang, Zhenchang Xing, Jiamou Sun, Terry Yue Zhuo Half-Order Fine-Tuning for Diffusion Model: A Recursive Likelihood Ratio Optimizer
Tao Ren, Zishi Zhang, Jinyang Jiang, Zehao Li, Shentao Qin, Yi Zheng, Guanghao Li, Qianyou Sun, Yan Li, Jiafeng Liang, Xinping Li, Yijie Peng Hallucination Begins Where Saliency Drops
Xiaofeng Zhang, Yuanchao Zhu, Chaochen Gu, Xiaosong Yuan, Qiyan Zhao, Jiawei Cao, Feilong Tang, Sinan Fan, Yaomin Shen, Chen Shen, Hao Tang Hallucination Reduction with CASAL: Contrastive Activation Steering for Amortized Learning
Wannan Yang, Xinchi Qiu, Lei Yu, Yuchen Zhang, Aobo Yang, Narine Kokhlikyan, Nicola Cancedda, Diego Garcia-Olano HAMLET: Switch Your Vision-Language-Action Model into a History-Aware Policy
Myungkyu Koo, Daewon Choi, Taeyoung Kim, Kyungmin Lee, Changyeon Kim, Younggyo Seo, Jinwoo Shin HardcoreLogic: Challenging Large Reasoning Models with Long-Tail Logic Puzzle Games
Jingcong Liang, Shijun Wan, Xuehai Wu, Yitong Li, Qianglong Chen, Duyu Tang, Siyuan Wang, Zhongyu Wei HARDTESTGEN: A High-Quality RL Verifier Generation Pipeline for LLM Algorithmic Coding
Zhongmou He, Yee Man Choi, Kexun Zhang, Ivan Bercovich, Jiabao Ji, Junting Zhou, Dejia Xu, Aidan Zhang, Yixiao Zeng, Lei Li Harnessing Hyperbolic Geometry for Harmful Prompt Detection and Sanitization
Igor Maljkovic, Maria Rosaria Briglia, Iacopo Masi, Antonio Emanuele Cinà, Fabio Roli HARP: Hallucination Detection via Reasoning Subspace Projection
Junjie Hu, Gang Tu, Cheng Shengyu, JinXin Li, Jinting Wang, Rui Chen, Zhilong Zhou, Dongbo Shan HDR-NSFF: High Dynamic Range Neural Scene Flow Fields
Shin Dong-Yeon, Kim Jun-Seong, Kwon Byung-Ki, Tae-Hyun Oh HEAPr: Hessian-Based Efficient Atomic Expert Pruning in Output Space
Ke Li, Zheng Yang, Zhongbin Zhou, Xuefeng, Zhonglin Jiang, Wenxiao Wang HEEGNet: Hyperbolic Embeddings for EEG
Shanglin Li, Chu Shiwen, Okan Koç, Yi Ding, Qibin Zhao, Motoaki Kawanabe, Ziheng Chen HEIST: A Graph Foundation Model for Spatial Transcriptomics and Proteomics Data
Hiren Madhu, João Felipe Rocha, Tinglin Huang, Siddharth Viswanath, Smita Krishnaswamy, Rex Ying HeuriGym: An Agentic Benchmark for LLM-Crafted Heuristics in Combinatorial Optimization
Hongzheng Chen, Yingheng Wang, Yaohui Cai, Hins Hu, Jiajie Li, Shirley Huang, Chenhui Deng, Rongjian Liang, Shufeng Kong, Haoxing Ren, Samitha Samaranayake, Carla P Gomes, Zhiru Zhang HiCache: A Plug-in Scaled-Hermite Upgrade for Taylor-Style Cache-Then-Forecast Diffusion Acceleration
Liang Feng, Shikang Zheng, Jiacheng Liu, Yuqi Lin, Qinming Zhou, Peiliang Cai, Xinyu Wang, Junjie Chen, Chang Zou, Yue Ma, Linfeng Zhang Hidden Breakthroughs in Language Model Training
Sara Kangaslahti, Elan Rosenfeld, Naomi Saphra Hierarchical Concept-Based Interpretable Models
Oscar Hill, Mateo Espinosa Zarlenga, Mateja Jamnik Hierarchical Encoding Tree with Modality Mixup for Cross-Modal Hashing
Zhiping Xiao, Junyu Luo, Hang Zhou, Yusheng Zhao, Xiao Luo, Pengyun Wang, Wei Ju, Siyu Heng, Ming Zhang Hierarchical Semantic-Acoustic Modeling via Semi-Discrete Residual Representations for Expressive End-to-End Speech Synthesis
Yixuan Zhou, Guoyang Zeng, Xin Liu, Xiang Li, Renjie Yu, Ziyang Wang, Runchuan Ye, Weiyue Sun, Jiancheng Gui, Kehan Li, Zhiyong Wu, Zhiyuan Liu Hierarchical Value-Decomposed Offline Reinforcement Learning for Whole-Body Control
Zhilong Zhang, Yunpeng Mei, Xinghao Du, Hongjie Cao, Haonan Wang, Pengyuan Min, Chenyu Wang, Pengfei Chen, Chenbo Xin, Yijie Wang, Wenyu Luo, Yihao Sun, Yidi Wang, Lei Yuan, Gang Wang, Yang Yu HierLoc: Hyperbolic Entity Embeddings for Hierarchical Visual Geolocation
Hari Krishna Gadi, Daniel Matos, Hongyi Luo, Lu Liu, Yongliang Wang, Yanfeng Zhang, Liqiu Meng High Accuracy, Less Talk (HALT): Reliable LLMs Through Capability-Aligned Finetuning
Tim Franzmeyer, Archie Sravankumar, Lijuan Liu, Yuning Mao, Rui Hou, Sinong Wang, Jakob Nicolaus Foerster, Luke Zettlemoyer, Madian Khabsa High-Dimensional Analysis of Synthetic Data Selection
Parham Rezaei, Filip Kovačević, Francesco Locatello, Marco Mondelli High-Probability Bounds for the Last Iterate of Clipped SGD
Savelii Chezhegov, Daniela Angela Parletta, Andrea Paudice, Eduard Gorbunov Hilbert: Recursively Building Formal Proofs with Informal Reasoning
Sumanth Varambally, Thomas Voice, Yanchao Sun, Zhifeng Chen, Rose Yu, Ke Ye HiMAE: Hierarchical Masked Autoencoders Discover Resolution-Specific Structure in Wearable Time Series
Simon A. Lee, Cyrus Tanade, Hao Zhou, Juhyeon Lee, Megha Thukral, Md Sazzad Hissain Khan, Keum San Chun, Baiying Lu, Migyeong Gwak, Mehrab Bin Morshed, Viswam Nathan, Md Mahbubur Rahman, Li Zhu, Subramaniam Venkatraman, Sharanya Arcot Desai HiPO: Self-Hint Policy Optimization for RLVR
Deng Qiyuan, Kehai Chen, Min Zhang, Zhongwen Xu HiVid: LLM-Guided Video Saliency for Content-Aware VOD and Live Streaming
Jiahui Chen, Bo Peng, Lianchen Jia, Zeyu Zhang, Tianchi Huang, Lifeng Sun Holdout-Loss-Based Data Selection for LLM Finetuning via In-Context Learning
Ling Zhang, Xianliang Yang, Juwon Yu, Park Cheonyoung, Lei Song, Jiang Bian Holistic Agent Leaderboard: The Missing Infrastructure for AI Agent Evaluation
Sayash Kapoor, Benedikt Stroebl, Peter Kirgis, Nitya Nadgir, Zachary S Siegel, Boyi Wei, Tianci Xue, Ziru Chen, Felix Chen, Saiteja Utpala, Franck Ndzomga, Dheeraj Oruganty, Sophie Luskin, Kangheng Liu, Botao Yu, Amit Arora, Dongyoon Hahm, Harsh Trivedi, Huan Sun, Juyong Lee, Tengjun Jin, Yifan Mai, Yifei Zhou, Yuxuan Zhu, Rishi Bommasani, Daniel Kang, Dawn Song, Peter Henderson, Yu Su, Percy Liang, Arvind Narayanan HoloPart: Generative 3D Part Amodal Segmentation
Yunhan Yang, Yuan-Chen Guo, Yukun Huang, Zi-Xin Zou, Zhipeng Yu, Yangguang Li, Yan-Pei Cao, Xihui Liu Hot PATE: Private Aggregation of Distributions for Diverse Tasks
Edith Cohen, Benjamin Cohen-Wang, Xin Lyu, Jelani Nelson, Tamas Sarlos, Uri Stemmer HOTA: Hamiltonian Framework for Optimal Transport Advection
Nazar Buzun, Daniil Shlenskii, Maksim Bobrin, Dmitry V. Dylov House of Dextra : Cross-Embodied Co-Design for Dexterous Hands
Kehlani Fay, Darin Anthony Djapri, Anya Zorin, James Clinton, Ali El Lahib, Hao Su, Michael T. Tolley, Sha Yi, Xiaolong Wang How Catastrophic Is Your LLM? Certifying Risks in Conversation
Chengxiao Wang, Isha Chaudhary, Qian Hu, Weitong Ruan, Rahul Gupta, Gagandeep Singh How Do Medical MLLMs Fail? a Study on Visual Grounding in Medical Images
Guimeng Liu, Tianze Yu, Somayeh Ebrahimkhani, Lin Zhi Zheng Shawn, Kok Pin Ng, Ngai-Man Cheung How Does the Optimizer Implicitly Bias the Model Merging Loss Landscape?
Chenxiang Zhang, Alexander Theus, Damien Teney, Antonio Orvieto, Jun Pang, Sjouke Mauw How Far Are LLMs from Professional Poker Players? Revisiting Game-Theoretic Reasoning with Agentic Tool Use
Minhua Lin, Enyan Dai, Hui Liu, Xianfeng Tang, Yuliang Yan, Zhenwei Dai, Jingying Zeng, Zhiwei Zhang, Fali Wang, Hongcheng Gao, Chen Luo, Xiang Zhang, Qi He, Suhang Wang How Far Can Unsupervised RLVR Scale LLM Training?
Bingxiang He, Yuxin Zuo, Zeyuan Liu, Shangziqi Zhao, Zixuan Fu, Junlin Yang, Cheng Qian, Kaiyan Zhang, Yuchen Fan, Ganqu Cui, Xiusi Chen, Youbang Sun, Xingtai Lv, Xuekai Zhu, Li Sheng, Ran Li, Huan-ang Gao, Yuchen Zhang, Lifan Yuan, Bowen Zhou, Zhiyuan Liu, Ning Ding How Learning Rate Decay Wastes Your Best Data in Curriculum-Based LLM Pretraining
Kairong Luo, Zhenbo Sun, Haodong Wen, Xinyu Shi, Jiarui Cui, Chenyi Dang, Kaifeng Lyu, Wenguang Chen How Many Code and Test Cases Are Enough? Evaluating Test Cases Generation from a Binary-Matrix Perspective
Xianzhen Luo, JinYang Huang, Wenzhen Zheng, Qingfu Zhu, Mingzheng Xu, Yiheng Xu, YuanTao Fan, Wanxiang Che How Muon’s Spectral Design Benefits Generalization: A Study on Imbalanced Data
Bhavya Vasudeva, Puneesh Deora, Yize Zhao, Vatsal Sharan, Christos Thrampoulidis How Reliable Is Language Model Micro-Benchmarking?
Gregory Yauney, Shahzaib Saqib Warraich, Swabha Swayamdipta How Stable Is the Next Token? a Geometric View of LLM Prediction Stability
Deyuan Liu, Zecheng Wang, Zhanyue Qin, Zhiying Tu, Dianhui Chu, Dianbo Sui How Text Quality Interventions Reshape Neural Scaling Laws for LLMs: Empirical Study
Newsha Ardalani, Feiyang Kang, Michael Kuchnik, Mostafa Elhoushi, Shubhabrata Sengupta, Shang-Wen Li, Carole-Jean Wu How to Train Data-Efficient LLMs
Noveen Sachdeva, Benjamin Coleman, Wang-Cheng Kang, Jianmo Ni, Lichan Hong, Ed H. Chi, James Caverlee, Julian McAuley, Derek Zhiyuan Cheng HSSBench: Benchmarking Humanities and Social Sciences Ability for Multimodal Large Language Models
Zhaolu Kang, Junhao Gong, Jiaxu Yan, Wanke Xia, Yian Wang, Zhuo Cheng, Wenhao Cao, Ziwen Wang, ZhiYuan Feng, Huaxuan Ding, Siqi He, Shannan Yan, Xiaomin He, Junzhe Chen, Chaoya Jiang, Wei Ye, Kaidong Yu, Xuelong Li Hubble: A Model Suite to Advance the Study of LLM Memorization
Johnny Wei, Ameya Godbole, Mohammad Aflah Khan, Ryan Yixiang Wang, Xiaoyuan Zhu, James Flemings, Nitya Kashyap, Krishna P. Gummadi, Willie Neiswanger, Robin Jia Human Behavior Atlas: Benchmarking Unified Psychological and Social Behavior Understanding
Keane Ong, Wei Dai, Carol Li, Dewei Feng, Hengzhi Li, Jingyao Wu, Jiaee Cheong, Rui Mao, Gianmarco Mengaldo, Erik Cambria, Paul Pu Liang Human or Machine? a Preliminary Turing Test for Speech-to-Speech Interaction
Xiang Li, Jiabao Gao, Sipei Lin, Xuan Zhou, Chi Zhang, Bo Cheng, Jiale Han, Benyou Wang Human Uncertainty-Aware Data Selection and Automatic Labeling in Visual Question Answering
Jian Lan, Zhicheng Liu, Udo Schlegel, Raoyuan Zhao, Yihong Liu, Hinrich Schuetze, Michael A. Hedderich, Thomas Seidl Human-LLM Collaborative Feature Engineering for Tabular Data
Zhuoyan Li, Aditya Bansal, Jinzhao Li, Shishuang He, Zhuoran Lu, Mutian Zhang, Qin Liu, Yiwei Yang, Swati Jain, Ming Yin, Yunyao Li Human-MME: A Holistic Evaluation Benchmark for Human-Centric Multimodal Large Language Models
Yuansen Liu, Haiming Tang, Jinlong Peng, Jiangning Zhang, Xiaozhong Ji, Qingdong He, Donghao Luo, Zhenye Gan, Junwei Zhu, Yunhang Shen, Chaoyou Fu, Chengjie Wang, Xiaobin Hu, Shuicheng Yan Human3R: Everyone Everywhere All at Once
Yue Chen, Xingyu Chen, Yuxuan Xue, Anpei Chen, Yuliang Xiu, Gerard Pons-Moll Humanline: Online Alignment as Perceptual Loss
Sijia Liu, Niklas Muennighoff, Kawin Ethayarajh HumanPCR: Probing MLLM Capabilities in Diverse Human-Centric Scenes
Keliang Li, Hongze Shen, Hao Shi, RuiBing Hou, Hong Chang, Jie Huang, Chenghao Jia, Wen Wang, Yiling Wu, Dongmei Jiang, Shiguang Shan, Xilin Chen HUME: Measuring the Human-Model Performance Gap in Text Embedding Tasks
Adnan El Assadi, Isaac Chung, Roman Solomatin, Niklas Muennighoff, Kenneth Enevoldsen HUMOF: Human Motion Forecasting in Interactive Social Scenes
Caiyi Sun, Yujing Sun, Xiao Han, Zemin Yang, Jiawei Liu, Xinge Zhu, Sm Yiu, Yuexin Ma Huxley-G\"odel Machine: Human-Level Coding Agent Development by an Approximation of the Optimal Self-Improving Machine
Wenyi Wang, Piotr Piękos, Li Nanbo, Firas Laakom, Yimeng Chen, Mateusz Ostaszewski, Mingchen Zhuge, Jürgen Schmidhuber Hybrid Deep Searcher: Scalable Parallel and Sequential Search Reasoning
Dayoon Ko, Jihyuk Kim, Haeju Park, Sohyeon Kim, Dahyun Lee, Yongrae Jo, Gunhee Kim, Moontae Lee, Kyungjae Lee Hybrid Reinforcement: When Reward Is Sparse, Better to Be Dense
Leitian Tao, Ilia Kulikov, Swarnadeep Saha, Tianlu Wang, Jing Xu, Sharon Li, Jason E Weston, Ping Yu Hybrid Training for Vision-Language-Action Models
Pietro Mazzaglia, Cansu Sancaktar, Markus Peschl, Daniel Dijkman HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model
Jiaming Liu, Hao Chen, Zhuoyang Liu, Pengju An, Renrui Zhang, Chenyang Gu, Xiaoqi Li, Ziyu Guo, Sixiang Chen, Mengzhen Liu, Chengkai Hou, Mengdi Zhao, KC alex Zhou, Pheng-Ann Heng, Shanghang Zhang Hyperbolic Aware Minimization: Implicit Bias for Sparsity
Tom Jacobs, Advait Gadhikar, Celia Rubio-Madrigal, Rebekka Burkholz I Predict Therefore I Am: Is Next Token Prediction Enough to Learn Human-Interpretable Concepts from Data?
Yuhang Liu, Dong Gong, Yichao Cai, Erdun Gao, Zhen Zhang, Biwei Huang, Mingming Gong, Anton van den Hengel, Javen Qinfeng Shi I2Mole: Interaction-Aware Invariant Molecular Learning for Generalizable Property Prediction
Wenjie Du, Jiahui Zhang, Xuqiang Li, Sihan Wang, Zhengyang Zhou, Hongxin Xiang, Jun Xia, Ye Wei, Yang Wang IC-Custom: Diverse Image Customization via In-Context Learning
Yaowei Li, Xiaoyu Li, Zhaoyang Zhang, Yuxuan Bian, Gan Liu, Xinyuan Li, Jiale Xu, Wenbo Hu, Yating Liu, Lingen Li, Jing Cai, Yuexian Zou, Yancheng He, Ying Shan ICaRus: Identical Cache Reuse for Efficient Multi-Model Inference
Sunghyeon Woo, Jaeeun Kil, Hoseung Kim, Minsub Kim, Joonghoon Kim, Ahreum Seo, Sungjae Lee, Minjung Jo, Jiwon Ryu, Baeseong Park, Se Jung Kwon, Dongsoo Lee Ice Cream Doesn’t Cause Drowning: Benchmarking LLMs Against Statistical Pitfalls in Causal Inference
Jin Du, Li Chen, Xun Xian, An Luo, Fangqiao Tian, Ganghua Wang, Charles Doss, Xiaotong Shen, Jie Ding IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment
Chenlin Ming, Chendi Qu, Qizhi Pei, Zhuoshi Pan, Yu Li, Xiaoming Duan, Lijun Wu, Conghui He Identifying and Evaluating Inactive Heads in Pretrained LLMs
Pedro Sandoval-Segura, Xijun Wang, Ashwinee Panda, Micah Goldblum, Ronen Basri, Tom Goldstein, David Jacobs Identity-Free Deferral for Unseen Experts
Joshua Strong, Pramit Saha, Yasin Ibrahim, Cheng Ouyang, Alison Noble IDER: IDempotent Experience Replay for Reliable Continual Learning
Zhanwang Liu, Yuting Li, Haoyuan Gao, Yexin Li, Linghe Kong, Lichao Sun, Weiran Huang IF-VidCap: Can Video Caption Models Follow Instructions?
Shihao Li, Yuanxing Zhang, Jiangtao Wu, Zhide Lei, Yiwen He, Runzhe Wen, Chenxi Liao, Chengkang Jiang, An Ping, Shuo Gao, Suhan Wang, Zhaozhou Bian, Zijun Zhou, Jingyi Xie, Jiayi Zhou, Jing Wang, Yifan Yao, Weihao Xie, Yingshui Tan, Yanghai Wang, Qianqian Xie, Zhaoxiang Zhang, Jiaheng Liu iFusion: Integrating Dynamic Interest Streams via Diffusion Model for Click-Through Rate Prediction
Ziheng Ni, Congcong Liu, Yuying Chen, Zhiwei Fang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao IGC-Net for Conditional Average Potential Outcome Estimation over Time
Konstantin Hess, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel IGGT: Instance-Grounded Geometry Transformer for Semantic 3D Reconstruction
Hao Li, Zhengyu Zou, Fangfu Liu, Xuanyang Zhang, Fangzhou Hong, Yukang Cao, Yushi Lan, Manyuan Zhang, Gang Yu, Dingwen Zhang, Ziwei Liu IGU-LoRA: Adaptive Rank Allocation via Integrated Gradients and Uncertainty-Aware Scoring
Xuan Cui, HuiYue Li, Run Zeng, Yunfei Zhao, Jinrui Qian, Wei Duan, Bo Liu, Zhanpeng Zhou Image Quality Assessment for Embodied AI
Chunyi Li, Jiahao Xiao, Jianbo Zhang, Farong Wen, Zicheng Zhang, Yuan Tian, Xiangyang Zhu, Xiaohong Liu, Zhengxue Cheng, Weisi Lin, Guangtao Zhai ImageDoctor: Diagnosing Text-to-Image Generation via Grounded Image Reasoning
Yuxiang Guo, Jiang Liu, Ze Wang, Hao Chen, Ximeng Sun, Yang Zhao, Jialian Wu, Xiaodong Yu, Zicheng Liu, Emad Barsoum ImagenWorld: Stress-Testing Image Generation Models with Explainable Human Evaluation on Open-Ended Real-World Tasks
Samin Mahdizadeh Sani, Max Ku, Nima Jamali, Matina Mahdizadeh Sani, Paria Khoshtab, Wei-Chieh Sun, Parnian Fazel, Zhi Rui Tam, Thomas Chong, Edisy Kin Wai Chan, Donald Wai Tong Tsang, Chiao-Wei Hsu, Lam Ting Wai, Ho Yin Sam Ng, Chiafeng Chu, Chak-Wing Mak, Keming Wu, Hiu Tung Wong, Yik Chun Ho, Chi Ruan, Zhuofeng Li, I-Sheng Fang, Shih-Ying Yeh, Ho Kei Cheng, Ping Nie, Wenhu Chen Implicit Inversion Turns CLIP into a Decoder
Antonio D'Orazio, Maria Rosaria Briglia, Donato Crisostomi, Dario Loi, Emanuele Rodolà, Iacopo Masi Implicit Regularization of SGD Reduces Shortcut Learning
Nahal Mirzaie, Alireza Alipanah, Ali Abbasi, Amirmahdi Farzane, Hossein Jafarinia, Erfan Sobhaei, Mahdi Ghaznavi, Amir Najafi, Mahdieh Soleymani Baghshah, Mohammad Hossein Rohban Importance Sampling for Multi-Negative Multimodal Direct Preference Optimization
Xintong Li, Chuhan Wang, Junda Wu, Rohan Surana, Tong Yu, Julian McAuley, Jingbo Shang Improved Object-Centric Diffusion Learning with Registers and Contrastive Alignment
Bac Nguyen, Yuhta Takida, Naoki Murata, Chieh-Hsin Lai, Toshimitsu Uesaka, Stefano Ermon, Yuki Mitsufuji Improving Attributed Long-Form Question Answering with Intent Awareness
Xinran Zhao, Aakanksha Naik, Jay DeYoung, Joseph Chee Chang, Jena D. Hwang, Tongshuang Wu, Varsha Kishore Improving Autoregressive Video Modeling with History Understanding
Wenyang Luo, Haina Qin, Bing Li, Jiwen Lu, Xin Tao, Pengfei Wan, Kun Gai Improving Code Localization with Repository Memory
Boshi Wang, Weijian Xu, Yunsheng Li, Xuemei Gao, Yujia Xie, Huan Sun, Dongdong Chen Improving LLM-Based Global Optimization with Search Space Partitioning
Andrej Schwanke, Lyubomir Ivanov, David Salinas, Fabio Ferreira, Aaron Klein, Frank Hutter, Arber Zela Improving Long-Range Interactions in Graph Neural Simulators via Hamiltonian Dynamics
Tai Hoang, Alessandro Trenta, Alessio Gravina, Niklas Freymuth, Philipp Becker, Davide Bacciu, Gerhard Neumann Improving Reasoning for Diffusion Language Models via Group Diffusion Policy Optimization
Kevin Rojas, Jiahe Lin, Kashif Rasul, Anderson Schneider, Yuriy Nevmyvaka, Molei Tao, Wei Deng IMSE: Intrinsic Mixture of Spectral Experts Fine-Tuning for Test-Time Adaptation
Sunghyun Baek, Jaemyung Yu, Seunghee Koh, Minsu Kim, Hyeonseong Jeon, Junmo Kim In Agents We Trust, but Who Do Agents Trust? Latent Source Preferences Steer LLM Generations
Mohammad Aflah Khan, Mahsa Amani, Soumi Das, Bishwamittra Ghosh, Qinyuan Wu, Krishna P. Gummadi, Manish Gupta, Abhilasha Ravichander In Context Semi-Supervised Learning
Jiashuo Fan, Paul Rosu, Aaron T Wang, Lawrence Carin, Xiang Cheng In Good GRACES: Principled Teacher Selection for Knowledge Distillation
Abhishek Panigrahi, Bingbin Liu, Sadhika Malladi, Sham M. Kakade, Surbhi Goel In-Context Algebra
Eric Todd, Jannik Brinkmann, Rohit Gandikota, David Bau In-Context Algorithm Emulation in Fixed-Weight Transformers
Jerry Yao-Chieh Hu, Hude Liu, Jennifer Yuntong Zhang, Han Liu In-Context Compositional Q-Learning for Offline Reinforcement Learning
Qiushui Xu, Yu-Hao Huang, Yushu Jiang, Wenliang Zheng, Lei Song, Jinyu Wang, Jiang Bian In-Context Learning for Pure Exploration
Alessio Russo, Ryan Welch, Aldo Pacchiano In-Context Learning of Temporal Point Processes with Foundation Inference Models
David Berghaus, Patrick Seifner, Kostadin Cvejoski, Cesar Ojeda, Ramses J Sanchez In-Context Multi-Objective Optimization
Xinyu Zhang, Conor Hassan, Julien Martinelli, Daolang Huang, Samuel Kaski In-Context Watermarks for Large Language Models
Yepeng Liu, Xuandong Zhao, Christopher Kruegel, Dawn Song, Yuheng Bu In-Place Test-Time Training
Guhao Feng, Shengjie Luo, Kai Hua, Ge Zhang, Wenhao Huang, Di He, Tianle Cai In-the-Flow Agentic System Optimization for Effective Planning and Tool Use
Zhuofeng Li, Haoxiang Zhang, Seungju Han, Sheng Liu, Jianwen Xie, Yu Zhang, Yejin Choi, James Zou, Pan Lu Incentivizing Consistent, Effective and Scalable Reasoning Capability in Audio LLMs via Reasoning Process Rewards
Jiajun Fan, Roger Ren, Jingyuan Li, Rahul Pandey, Prashanth Gurunath Shivakumar, Ivan Bulyko, Ankur Gandhe, Ge Liu, Yile Gu Incentivizing LLM Reasoning via Reinforcement Learning with Functional Monte Carlo Tree Search
Kongcheng Zhang, Qi Yao, Baisheng Lai, Jiaxing Huang, Wenkai Fang, Dacheng Tao, Mingli Song, Shunyu Liu Incomplete Data, Complete Dynamics: A Diffusion Approach
Zihan Zhou, Chenguang Wang, Hongyi Ye, Yongtao Guan, Tianshu Yu Inconsistency Biases in Dynamic Data Pruning
Qing Zhou, Tao Yang, Bingxuan Zhao, Hongyuan Zhang, Junyu Gao, Qi Wang IndicVisionBench: Benchmarking Cultural and Multilingual Understanding in VLMs
Ali Faraz, Akash, Shaharukh Khan, Raja Kolla, Akshat Patidar, Suranjan Goswami, Abhinav Ravi, Chandra Khatri, Shubham Agarwal Inducing Dyslexia in Vision Language Models
Melika Honarmand, Ayati Sharma, Badr AlKhamissi, Johannes Mehrer, Martin Schrimpf Inductive Reasoning for Temporal Knowledge Graphs with Emerging Entities
Ze Zhao, He Yuhui, Lyuwen Wu, Gu Tang, Bin Lu, Xiaoying Gan, Luoyi Fu, Xinbing Wang, Chenghu Zhou Inference-Time Scaling of Diffusion Models Through Classical Search
XiangCheng Zhang, Haowei Lin, Haotian Ye, James Zou, Jianzhu Ma, Yitao Liang, Yilun Du Infinite Horizon Markov Economies
Denizalp Goktas, Sadie Zhao, Yiling Chen, Amy Greenwald InfLLM-V2: Dense-Sparse Switchable Attention for Seamless Short-to-Long Adaptation
Weilin Zhao, Zihan Zhou, Zhou Su, Chaojun Xiao, Yuxuan Li, Yanghao Li, Yudi Zhang, Weilun Zhao, Zhen Li, Yuxiang Huang, Ao Sun, Xu Han, Zhiyuan Liu Influence Dynamics and Stagewise Data Attribution
Jin Hwa Lee, Matthew J. A. Smith, Maxwell Adam, Jesse Hoogland Influence-Preserving Proxies for Gradient-Based Data Selection in LLM FineTuning
Sirui Chen, Yunzhe Qi, Mengting Ai, Yifan Sun, Ruizhong Qiu, Jiaru Zou, Jingrui He InfoBridge: Mutual Information Estimation via Bridge Matching
Sergei Kholkin, Ivan Butakov, Evgeny Burnaev, Nikita Gushchin, Alexander Korotin InfoDet: A Dataset for Infographic Element Detection
Jiangning Zhu, Yuxing Zhou, Zheng Wang, Juntao Yao, Yima Gu, Yuhui Yuan, Shixia Liu InfoMosaic-Bench: Evaluating Multi-Source Information Seeking in Tool-Augmented Agents
Yaxin Du, Yuanshuo Zhang, Xiyuan Yang, Yifan Zhou, Cheng Wang, Gongyi Zou, Xianghe Pang, WenHao Wang, Menglan Chen, Shuo Tang, Siheng Chen InfoNCE Induces Gaussian Distribution
Roy Betser, Eyal Gofer, Meir Yossef Levi, Guy Gilboa Information Estimation with Discrete Diffusion
Alberto Foresti, Giulio Franzese, Pietro Michiardi Information Shapes Koopman Representation
Xiaoyuan Cheng, Wenxuan Yuan, Yiming Yang, Yuanzhao Zhang, Sibo Cheng, Yi He, Zhuo Sun InfoScan: Information-Efficient Visual Scanning via Resource-Adaptive Walks
Yifeng Wu, Huimin Huang, Shangjie Zhou, Yawen Huang, Hao Zheng, Yun Chen, Xian Wu, Ruize Han, Guanhua Chen InfoTok: Adaptive Discrete Video Tokenizer via Information-Theoretic Compression
Haotian Ye, Qiyuan He, Jiaqi Han, Puheng Li, Jiaojiao Fan, Zekun Hao, Fitsum Reda, Yogesh Balaji, Huayu Chen, Sheng Liu, Angela Yao, James Zou, Stefano Ermon, Haoxiang Wang, Ming-Yu Liu InftyThink: Breaking the Length Limits of Long-Context Reasoning in Large Language Models
Yuchen Yan, Yongliang Shen, Yang Liu, Jin Jiang, Mengdi Zhang, Jian Shao, Yueting Zhuang Inlier-Centric Post-Training Quantization for Object Detection Models
Minsu Kim, Dongyeun Lee, Jaemyung Yu, Jiwan Hur, Giseop Kim, Junmo Kim InnoGym: Benchmarking the Innovation Potential of AI Agents
Jintian Zhang, Kewei Xu, Jingsheng Zheng, Zhuoyun Yu, Yuqi Zhu, Yujie Luo, Lanning Wei, Shuofei Qiao, Lun Du, Da Zheng, Shumin Deng, Huajun Chen, Ningyu Zhang InnovatorBench: Evaluating Agents’ Ability to Conduct Innovative AI Research
Yunze Wu, Dayuan Fu, Weiye Si, Zhen Huang, Mohan Jiang, Keyu Li, Shijie Xia, Jie Sun, Tianze Xu, Yang Xiao, Pengrui Lu, Xiaojie Cai, Lyumanshan Ye, Wenhong Zhu, Xiangkun Hu, Pengfei Liu Inoculation Prompting: Eliciting Traits from LLMs During Training Can Reduce Trait Expression at Test-Time
Daniel Tan, Anders Cairns Woodruff, Niels Warncke, Arun Jose, Maxime Nicolas Riché, David Demitri Africa, Mia Taylor Inpainting-Guided Policy Optimization for Diffusion Large Language Models
Siyan Zhao, Mengchen Liu, Jing Huang, Miao Liu, Chenyu Wang, Bo Liu, Yuandong Tian, Guan Pang, Sean Bell, Aditya Grover, Feiyu Chen InputDSA: Demixing, Then Comparing Recurrent and Externally Driven Dynamics
Ann Huang, Mitchell Ostrow, Satpreet Harcharan Singh, Leo Kozachkov, Ila R Fiete, Kanaka Rajan InSight-O3: Empowering Multimodal Foundation Models with Generalized Visual Search
Kaican Li, Lewei Yao, Jiannan Wu, Tiezheng Yu, Jierun Chen, Haoli Bai, Lu Hou, Lanqing Hong, Wei Zhang, Nevin L. Zhang Instance-Wise Adaptive Scheduling via Derivative-Free Meta-Learning
Hefang Qing, Miao Zhang, Yaoxin Wu, Weinan Huang, Jianhao Yang, Wen Song, Gang Wang INSTANT: Compressing Gradients and Activations for Resource-Efficient Training
Tuan-Kiet Doan, Trung-Hieu Tran, Enzo Tartaglione, Nikola Simidjievski, Van-Tam Nguyen Instilling an Active Mind in Avatars via Cognitive Simulation
Jianwen Jiang, Weihong Zeng, Zerong Zheng, Jiaqi Yang, Chao Liang, Wang Liao, Han Liang, Weifeng Chen, Xing Wang, Yuan Zhang, Mingyuan Gao InT: Self-Proposed Interventions Enable Credit Assignment in LLM Reasoning
Matthew Y. R. Yang, Hao Bai, Ian Wu, Gene Yang, Amrith Setlur, Aviral Kumar Intention-Conditioned Flow Occupancy Models
Chongyi Zheng, Seohong Park, Sergey Levine, Benjamin Eysenbach InterActHuman: Multi-Concept Human Animation with Layout-Aligned Audio Conditions
Zhenzhi Wang, Jiaqi Yang, Jianwen Jiang, Chao Liang, Gaojie Lin, Zerong Zheng, Ceyuan Yang, Yuan Zhang, Mingyuan Gao, Dahua Lin Interleave-VLA: Enhancing Robot Manipulation with Image-Text Interleaved Instructions
Cunxin Fan, Xiaosong Jia, Yihang Sun, Yixiao Wang, Jianglan Wei, Ziyang Gong, Xiangyu Zhao, Masayoshi Tomizuka, Xue Yang, Junchi Yan, Mingyu Ding Interleaving Reasoning for Better Text-to-Image Generation
Wenxuan Huang, Shuang Chen, Zheyong Xie, Shaosheng Cao, Shixiang Tang, Yufan Shen, Qingyu Yin, Wenbo Hu, Xiaoman Wang, Yuntian Tang, Junbo Qiao, Hangyu Guo, Yao Hu, Zhenfei Yin, Philip Torr, Yu Cheng, Wanli Ouyang, Shaohui Lin Internal Evaluation of Density-Based Clusterings with Noise
Anna Beer, Lena Krieger, Pascal Weber, Martin Ritzert, Ira Assent, Claudia Plant InternSpatial: A Comprehensive Dataset for Spatial Reasoning in Vision-Language Models
Nianchen Deng, Lixin Gu, Shenglong Ye, Yinan He, Zhe Chen, Songze Li, Haomin Wang, Jinhui Yin, Qi Wei, Tianshuo Yang, Min Dou, Tong He, Wenqi Shao, Kaipeng Zhang, Yi Wang, Botian Shi, Yanting Zhang, Jifeng Dai, Yu Qiao, Wenhai Wang, Hongjie Zhang InternSVG: Towards Unified SVG Tasks with Multimodal Large Language Models
Haomin Wang, Jinhui Yin, Qi Wei, Wenguang Zeng, Lixin Gu, Shenglong Ye, Zhangwei Gao, Yaohui Wang, Yanting Zhang, Yuanqi Li, Yanwen Guo, Wenhai Wang, Kai Chen, Yu Qiao, Hongjie Zhang Interpretable 3D Neural Object Volumes for Robust Conceptual Reasoning
Nhi Pham, Artur Jesslen, Bernt Schiele, Adam Kortylewski, Jonas Fischer Into the Rabbit Hull: From Task-Relevant Concepts in DINO to Minkowski Geometry
Thomas Fel, Binxu Wang, Michael A. Lepori, Matthew Kowal, Andrew Lee, Randall Balestriero, Sonia Joseph, Ekdeep Singh Lubana, Talia Konkle, Demba E. Ba, Martin Wattenberg Intrinsic Entropy of Context Length Scaling in LLMs
Jingzhe Shi, Qinwei Ma, Hongyi Liu, Hang Zhao, Jenq-Neng Hwang, Lei Li Intrinsic Lorentz Neural Network
Xianglong Shi, Ziheng Chen, Yunhan Jiang, Nicu Sebe Inverse IFEval: Can LLMs Unlearn Stubborn Training Conventions to Follow Real Instructions?
Qinyan Zhang, Xinping Lei, Ruijie Miao, Fu Yu, Haojie Fan, Le Chang, Jiafan Hou, Dingling Zhang, Zhongfei Hou, ZiqiangYang, Puchangxin, Fei Hu, Jingkai Liu, Jiaheng Liu, Tong Yang, Zaiyuan Wang, Ge Zhang, Xinjie Chen, Jianpeng Jiao, Wenhao Huang Inverse Reinforcement Learning with Dynamic Reward Scaling for LLM Alignment
Ruoxi Cheng, Hao-Xuan Ma, Weixin Wang, Ranjie Duan, Jiexi Liu, Xiaoshuang Jia, Simeng Qin, Xiaochun Cao, Yang Liu, Xiaojun Jia Investigating Redundancy in Multimodal Large Language Models with Multiple Vision Encoders
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Andrea Fasoli, Monodeep Kar, Chi-Chun Liu, Swagath Venkataramani, Viji Srinivasan, Leland Chang, Naigang Wang Iterative Distillation for Reward-Guided Fine-Tuning of Diffusion Models in Biomolecular Design
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Guoxin Chen, Zile Qiao, Xuanzhong Chen, Donglei Yu, Haotian Xu, Xin Zhao, Ruihua Song, Wenbiao Yin, Huifeng Yin, Liwen Zhang, Kuan Li, Minpeng Liao, Yong Jiang, Pengjun Xie, Fei Huang, Jingren Zhou IV-Bench: A Benchmark for Image-Grounded Video Perception and Reasoning in Multimodal LLMs
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Chenxi Whitehouse, Tianlu Wang, Ping Yu, Xian Li, Jason E Weston, Ilia Kulikov, Swarnadeep Saha JailbreakLoRA: Your Downloaded LoRA from Sharing Platforms Might Be Unsafe
Fanjunduo Wei, Zhenheng Tang, Rongfei Zeng, Tongliang Liu, Chengqi Zhang, Xiaowen Chu, Bo Han JALMBench: Benchmarking Jailbreak Vulnerabilities in Audio Language Models
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Kai Liu, Wei Li, Lai Chen, Shengqiong Wu, Yanhao Zheng, Jiayi Ji, Fan Zhou, Jiebo Luo, Ziwei Liu, Hao Fei, Tat-Seng Chua JavisDiT++: Unified Modeling and Optimization for Joint Audio-Video Generation
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Jinpeng Lu, Linghan Cai, Yinda Chen, Guo Tang, Songhan Jiang, Haoyuan Shi, Zhiwei Xiong Joint Adaptation of Uni-Modal Foundation Models for Multi-Modal Alzheimer's Disease Diagnosis
Wentao Gu, Yuquan Li, Xinyang Jiang, Zilong Wang, Dongsheng Li, Zehui Li, Zijian Dong, Cairong Zhao Joint Distillation for Fast Likelihood Evaluation and Sampling in Flow-Based Models
Xinyue Ai, Yutong He, Albert Gu, Ruslan Salakhutdinov, J Zico Kolter, Nicholas Matthew Boffi, Max Simchowitz Joint Shadow Generation and Relighting via Light-Geometry Interaction Maps
Shan Wang, Peixia Li, Chenchen Xu, Ziang Cheng, Jiayu Yang, Hongdong Li, Pulak Purkait JointAVBench: A Benchmark for Joint Audio-Visual Reasoning Evaluation
Jianghan Chao, Jianzhang Gao, Wenhui Tan, Yuchong Sun, Ruihua Song, Liyun Ru JointDiff: Bridging Continuous and Discrete in Multi-Agent Trajectory Generation
Guillem Capellera, Luis Ferraz, Antonio Rubio Romano, Alexandre Alahi, Antonio Agudo Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness
Erfan Shayegani, Keegan Hines, Yue Dong, Nael Abu-Ghazaleh, Roman Lutz, Spencer Whitehead, Vidhisha Balachandran, Besmira Nushi, Vibhav Vineet K-Sort Eval: Efficient Preference Evaluation for Visual Generation via Corrected VLM-as-a-Judge
Zhikai Li, Jiatong Li, Xuewen Liu, Wangbo Zhao, Pan Du, Kaicheng Zhou, Qingyi Gu, Yang You, Zhen Dong, Kurt Keutzer K²-Agent: Co-Evolving Know-What and Know-How for Hierarchical Mobile Device Control
Zhe Wu, Donglin Mo, Hongjin Lu, Junliang Xing, Jianheng Liu, Yuheng Jing, Kai Li, Kun Shao, Jianye Hao, Yuanchun Shi Kaleidoscope: In-Language Exams for Massively Multilingual Vision Evaluation
Israfel Salazar, Manuel Fernández Burda, Shayekh Bin Islam, Arshia Soltani Moakhar, Shivalika Singh, Fabian Farestam, Angelika Romanou, Danylo Boiko, Dipika Khullar, Mike Zhang, Dominik Krzemiński, Jekaterina Novikova, Luísa Shimabucoro, Joseph Marvin Imperial, Rishabh Maheshwary, Sharad Duwal, Alfonso Amayuelas, Swati Rajwal, Jebish Purbey, Ahmed Ruby, Nicholas Popovič, Marek Suppa, Azmine Toushik Wasi, Ram Mohan Rao Kadiyala, Olga Tsymboi, Maksim Kostritsya, Bardia soltani Moakhar, Gabriel da Costa Merlin, Otávio Ferracioli Coletti, Maral Jabbarishiviari, Mohammadamin Farahanifard, Silvia Andrea Fernandez, María Grandury, Dmitry Abulkhanov, Drishti Sharma, Andre Guarnier De Mitri, Leticia Bossatto Marchezi, Setayesh Heydari, Johan Obando-Ceron, Nazar Kohut, Beyza Ermis, Desmond Elliott, Enzo Ferrante, Sara Hooker, Marzieh Fadaee KaLM-Embedding-V2: Superior Training Techniques and Data Inspire a Versatile Embedding Model
Xinping Zhao, Xinshuo Hu, Zifei Shan, Shouzheng Huang, Yao Zhou, Xin Zhang, Zetian Sun, Zhenyu Liu, Dongfang Li, Xinyuan Wei, Youcheng Pan, Yang Xiang, Meishan Zhang, Haofen Wang, Jun Yu, Baotian Hu, Min Zhang KANO: Kolmogorov-Arnold Neural Operator
Jin Lee, Ziming Liu, Xinling Yu, Yixuan Wang, Haewon Jeong, Murphy Yuezhen Niu, Zheng Zhang KDP: Simplifying Representation Dynamics in Kernel Space
Zeyu Ma, Wanying Wang, Guchu Zou, Mingang Chen, Jianhong Wu KeepLoRA: Continual Learning with Residual Gradient Adaptation
Mao-Lin Luo, Zi-Hao Zhou, Yi-Lin Zhang, Yuanyu Wan, Min-Ling Zhang, Tong Wei Kevin: Multi-Turn RL for Generating CUDA Kernels
Carlo Baronio, Pietro Marsella, Ben Pan, Simon Guo, Silas Alberti Kimi-Dev: Agentless Training as Skill Prior for SWE-Agents
Zonghan Yang, Shengjie Wang, Kelin Fu, Wenyang He, Weimin Xiong, Yibo Liu, Yibo Miao, Bofei Gao, Yejie Wang, Yingwei Ma, Yanhao Li, Yue Liu, Zhenxing Hu, Kaitai Zhang, Shuyi Wang, Huarong Chen, Flood Sung, Yang Liu, Yang Gao, Zhilin Yang, Tianyu Liu KLAS: Using Similarity to Stitch Neural Networks for Improved Accuracy-Efficiency Tradeoffs
Debopam Sanyal, Anantharaman S. Iyer, Alind Khare, Trisha Jain, Akshay Jajoo, Myungjin Lee, James Clayton Kerce, Alexey Tumanov KnowGuard: Knowledge-Driven Abstention for Multi-Round Clinical Reasoning
Xilin Dang, Kexin Chen, Xiaorui Su, Ayush Noori, Iñaki Arango, Lucas Vittor, Long Xinyi, Yuyang Du, Marinka Zitnik, Pheng-Ann Heng Knowing When to Quit: Probabilistic Early Exits for Speech Separation Networks
Kenny Falkær Olsen, Mads Østergaard, Karl Ulbæk, Søren Føns Nielsen, Rasmus Malik Høegh Lindrup, Bjørn Sand Jensen, Morten Mørup Knowledge Externalization: Reversible Unlearning and Modular Retrieval in Multimodal Large Language Models
Jiaqi Li, Zihan You, Ruoyan Shen, Shenyu Zhang, Songlin Zhai, Yongrui Chen, Chuanyi Zhang, Jiahui Geng, Fakhri Karray, Sheng Bi, Guilin Qi Knowledge Fusion of Large Language Models via Modular SkillPacks
Guodong Du, Zhuo Li, Xuanning Zhou, Junlin Li, Zesheng Shi, Wanyu Lin, Ho-Kin Tang, Xiucheng Li, Fangming Liu, Wenya Wang, Min Zhang, Jing Li Knowledgeable Language Models as Black-Box Optimizers for Personalized Medicine
Michael S Yao, Osbert Bastani, Alma Andersson, Tommaso Biancalani, Aicha BenTaieb, Claudia Iriondo KRAMABENCH: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakes
Eugenie Lai, Gerardo Vitagliano, Ziyu Zhang, Om Chabra, Sivaprasad Sudhir, Anna Zeng, Anton A. Zabreyko, Chenning Li, Ferdi Kossmann, Jialin Ding, Jun Chen, Markos Markakis, Matthew Russo, Weiyang Wang, Ziniu Wu, Mike Cafarella, Lei Cao, Samuel Madden, Tim Kraska La-Proteina: Atomistic Protein Generation via Partially Latent Flow Matching
Tomas Geffner, Kieran Didi, Zhonglin Cao, Danny Reidenbach, Zuobai Zhang, Christian Dallago, Emine Kucukbenli, Karsten Kreis, Arash Vahdat Label Smoothing Improves Machine Unlearning
Zonglin Di, Zhaowei Zhu, Jinghan Jia, Jiancheng Liu, Zafar Takhirov, Bo Jiang, Yuanshun Yao, Sijia Liu, Yang Liu LadderSym: A Multimodal Interleaved Transformer for Music Practice Error Detection
Benjamin Shiue-Hal Chou, Purvish Jajal, Nicholas John Eliopoulos, James C. Davis, George K Thiruvathukal, Kristen Yeon-Ji Yun, Yung-Hsiang Lu LaDiR: Latent Diffusion Enhances LLMs for Text Reasoning
Haoqiang Kang, Yizhe Zhang, Nikki Lijing Kuang, Nicklas Majamaki, Navdeep Jaitly, Yian Ma, Lianhui Qin LAMDA: A Longitudinal Android Malware Benchmark for Concept Drift Analysis
Md Ahsanul Haque, Ismail Hossain, Md Mahmuduzzaman Kamol, Md Jahangir Alam, Suresh kumar Amalapuram, Sajedul Talukder, Mohammad Saidur Rahman Landing with the Score: Riemannian Optimization Through Denoising
Andrey Kharitenko, Zebang Shen, Riccardo De Santi, Niao He, Florian Dorfler Landscape of Thoughts: Visualizing the Reasoning Process of Large Language Models
Zhanke Zhou, Zhaocheng Zhu, Xuan Li, Mikhail Galkin, Xiao Feng, Sanmi Koyejo, Jian Tang, Bo Han Language and Experience: A Computational Model of Social Learning in Complex Tasks
Cédric Colas, Tracey Mills, Ben Prystawski, Michael Henry Tessler, Noah Goodman, Jacob Andreas, Joshua B. Tenenbaum Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative
Zihao Li, Xiao Lin, Zhining Liu, Jiaru Zou, Ziwei Wu, Lecheng Zheng, Dongqi Fu, Yada Zhu, Hendrik Hamann, Hanghang Tong, Jingrui He Language Models Are Injective and Hence Invertible
Giorgos Nikolaou, Tommaso Mencattini, Donato Crisostomi, Andrea Santilli, Yannis Panagakis, Emanuele Rodolà Language Models Use Lookbacks to Track Beliefs
Nikhil Prakash, Natalie Shapira, Arnab Sen Sharma, Christoph Riedl, Yonatan Belinkov, Tamar Rott Shaham, David Bau, Atticus Geiger LaplacianFormer:Rethinking Linear Attention with Laplacian Kernel
Zhe Feng, Sen Lian, Changwei Wang, Muyang Zhang, Tianlong Tan, Rongtao Xu, Weiliang Meng, Xiaopeng Zhang Large Depth Completion Model from Sparse Observations
Zhu Yu, Zhengyi Zhao, Runmin Zhang, Lingteng Qiu, Kejie Qiu, Yisheng He, Siyu Zhu, Zilong Dong, Si-Yuan Cao, Hui-liang Shen Large Language Model Compression with Global Rank and Sparsity Optimization
Changhai Zhou, Qian Qiao, Yuhua Zhou, Yuxin Wu, Shichao Weng, Weizhong Zhang, Cheng Jin Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency
Kaiwen Zheng, Yuji Wang, Qianli Ma, Huayu Chen, Jintao Zhang, Yogesh Balaji, Jianfei Chen, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang LaSeR: Reinforcement Learning with Last-Token Self-Rewarding
Wenkai Yang, Weijie Liu, Ruobing Xie, Yiju Guo, Lulu Wu, Saiyong Yang, Yankai Lin Latent Concept Disentanglement in Transformer-Based Language Models
Guan Zhe Hong, Bhavya Vasudeva, Vatsal Sharan, Cyrus Rashtchian, Prabhakar Raghavan, Rina Panigrahy Latent Denoising Makes Good Tokenizers
Jiawei Yang, Tianhong Li, Lijie Fan, Yonglong Tian, Yue Wang Latent Diffusion Model Without Variational Autoencoder
Minglei Shi, Haolin Wang, Wenzhao Zheng, Ziyang Yuan, Xiaoshi Wu, Xintao Wang, Pengfei Wan, Jie Zhou, Jiwen Lu Latent Fourier Transform
Mason Long Wang, Cheng-Zhi Anna Huang Latent Geometry-Driven Network Automata for Complex Network Dismantling
Thomas Adler, Marco Grassia, Ziheng Liao, Giuseppe Mangioni, Carlo Vittorio Cannistraci Latent Particle World Models: Self-Supervised Object-Centric Stochastic Dynamics Modeling
Tal Daniel, Carl Qi, Dan Haramati, Amir Zadeh, Chuan Li, Aviv Tamar, Deepak Pathak, David Held Latent Speech-Text Transformer
Yen-Ju Lu, Yashesh Gaur, Wei Zhou, Benjamin Muller, Jesus Villalba, Najim Dehak, Luke Zettlemoyer, Gargi Ghosh, Mike Lewis, Srini Iyer, Duc Le Latent Veracity Inference for Identifying Errors in Stepwise Reasoning
Minsu Kim, Jean-Pierre R. Falet, Oliver Ethan Richardson, Xiaoyin Chen, Moksh Jain, Sungjin Ahn, Sungsoo Ahn, Yoshua Bengio Latent Visual Reasoning
Bangzheng Li, Ximeng Sun, Jiang Liu, Ze Wang, Jialian Wu, Xiaodong Yu, Emad Barsoum, Muhao Chen, Zicheng Liu Latent-Guided Reasoning: Empowering Small LLMs with Large-Model Thinking
Hanzhu Chen, Lin Yang, Jie Wang, Junhao Yan, Zhe Wang, Xize Liang, Jianye Hao LaTo: Landmark-Tokenized Diffusion Transformer for Fine-Grained Human Face Editing
Zhenghao Zhang, Ziying Zhang, Junchao Liao, Xiangyu Meng, Qiang Hu, Siyu Zhu, Xiaoyun Zhang, Long Qin, Weizhi Wang LaVCa: LLM-Assisted Visual Cortex Captioning
Takuya Matsuyama, Shinji Nishimoto, Yu Takagi LayerSync: Self-Aligning Intermediate Layers
Yasaman Haghighi, Bastien Van Delft, Mariam Hassan, Alexandre Alahi Layerwise Federated Learning for Heterogeneous Quantum Clients Using Quorus
Jason Han, Nicholas S. DiBrita, Daniel Leeds, Jianqiang Li, Jason Ludmir, Tirthak Patel LD-MoLE: Learnable Dynamic Routing for Mixture of LoRA Experts
Yuan Zhuang, Yi Shen, Yuexin Bian, Qing Su, Shihao Ji, Yuanyuan Shi, Fei Miao Lean Finder: Semantic Search for Mathlib That Understands User Intents
Jialin Lu, Kye Emond, Kaiyu Yang, Swarat Chaudhuri, Weiran Sun, Wuyang Chen Lean4Physics: Comprehensive Reasoning Framework for College-Level Physics in Lean4
Yuxin Li, Minghao Liu, Ruida Wang, Ji WenZhao, Zhitao He, Rui Pan, Junming Huang, Tong Zhang, Yi R. Fung LEAP: Local ECT-Based Learnable Positional Encodings for Graphs
Juan P Garcia Amboage, Ernst Röell, Patrick Schnider, Bastian Rieck Learn the Ropes, Then Trust the Wins: Self-Imitation with Progressive Exploration for Agentic Reinforcement Learning
Yulei Qin, Xiaoyu Tan, Zhengbao He, Gang Li, Haojia Lin, Zongyi Li, Zihan Xu, Yuchen Shi, Siqi Cai, Renting Rui, Shaofei Cai, Yuzheng Cai, Xuan Zhang, Sheng Ye, Ke Li, Xing Sun Learn to Guide Your Diffusion Model
Alexandre Galashov, Ashwini Pokle, Arnaud Doucet, Arthur Gretton, Mauricio Delbracio, Valentin De Bortoli Learn to Reason Efficiently with Adaptive Length-Based Reward Shaping
Wei Liu, Ruochen Zhou, Yiyun Deng, Yuzhen Huang, Junteng Liu, Yuntian Deng, Yizhe Zhang, Junxian He Learnable Sparsity for Vision Generative Models
Yang Zhang, Er Jin, Wenzhong Liang, Yanfei Dong, Ashkan Khakzar, Philip Torr, Johannes Stegmaier, Kenji Kawaguchi LearNAT: Learning NL2SQL with AST-Guided Task Decomposition for Large Language Models
Weibin Liao, Xin Gao, Tianyu Jia, Rihong Qiu, Yifan Zhu, Yang Lin, Xinyu Ma, Junfeng Zhao, Yasha Wang Learned Meta-Tokens for Language Modeling
Alok Shah, Khush Gupta, Keshav Ramji, Pratik Chaudhari Learning a Distance Measure from the Information-Estimation Geometry of Data
Guy Ohayon, Pierre-Etienne H Fiquet, Florentin Guth, Jona Ballé, Eero P Simoncelli Learning a Game by Paying the Agents
Brian Hu Zhang, Tao Lin, Yiling Chen, Tuomas Sandholm Learning an Image Editing Model Without Image Editing Pairs
Nupur Kumari, Sheng-Yu Wang, Nanxuan Zhao, Yotam Nitzan, Yuheng Li, Krishna Kumar Singh, Richard Zhang, Eli Shechtman, Jun-Yan Zhu, Xun Huang Learning Boltzmann Generators via Constrained Mass Transport
Christopher von Klitzing, Denis Blessing, Henrik Schopmans, Pascal Friederich, Gerhard Neumann Learning Brain Representation with Hierarchical Visual Embeddings
Jiawen Zheng, Haonan Jia, Ming Li, Yuhui Zheng, Yufeng Zeng, Yang Gao, Chen Liang Learning Collective Variables from BioEmu with Time-Lagged Generation
Seonghyun Park, Kiyoung Seong, Soojung Yang, Rafael Gomez-Bombarelli, Sungsoo Ahn Learning Concept Bottleneck Models from Mechanistic Explanations
Antonio De Santis, Schrasing Tong, Marco Brambilla, Lalana Kagal Learning Correlated Reward Models: Statistical Barriers and Opportunities
Yeshwanth Cherapanamjeri, Constantinos Costis Daskalakis, Gabriele Farina, Sobhan Mohammadpour Learning Efficient and Interpretable Multi-Agent Communication
Wei Du, Benyu Wu, Yuqing Sun, Wei Guo, Yuntao Du, Zhongmin Yan, Guoxian Yu, Lizhen Cui Learning Escorted Protocols for Multistate Free-Energy Estimation
Lars Holdijk, Nithishwer Mouroug Anand, Michael M. Bronstein, Max Welling Learning Explicit Single-Cell Dynamics Using ODE Representations
Jan-Philipp von Bassewitz, Adeel Pervez, Marco Fumero, Matthew R Robinson, Theofanis Karaletsos, Francesco Locatello Learning Facts at Scale with Active Reading
Jessy Lin, Vincent-Pierre Berges, Xilun Chen, Wen-tau Yih, Gargi Ghosh, Barlas Oguz Learning for Highly Faithful Explainability
Yuhan Guo, Lizhong Ding, Shihao Jia, Yanyu Ren, Pengqi Li, Jiarun Fu, Changsheng Li, Ye Yuan, Guoren Wang Learning from Synthetic Data Improves Multi-Hop Reasoning
Anmol Kabra, Yilun Yin, Albert Gong, Kamilė Stankevičiūtė, Dongyoung Go, Johann Lee, Katie Z Luo, Carla P Gomes, Kilian Q Weinberger Learning from the Electronic Structure of Molecules Across the Periodic Table
Manasa Kaniselvan, Benjamin Kurt Miller, Meng Gao, Juno Nam, Daniel S. Levine Learning from the past with Cascading Eligibility Traces
Tokiniaina Raharison Ralambomihanta, Ivan Anokhin, Roman Pogodin, Samira Ebrahimi Kahou, Jonathan Cornford, Blake Aaron Richards Learning Global Hypothesis Space for Enhancing Synergistic Reasoning Chain
Jiaquan Zhang, Chaoning Zhang, Shuxu Chen, Xudong Wang, Zhenzhen Huang, Pengcheng Zheng, Shuai Yuan, Sheng Zheng, Qigan Sun, Jie Zou, Lik-Hang Lee, Yang Yang Learning Hierarchical and Geometry-Aware Graph Representations for Text-to-CAD
Shengjie Gong, Wenjie Peng, Hongyuan Chen, Gangyu Zhang, Yunqing Hu, Huiyuan Zhang, Shuangping Huang, Tianshui Chen Learning Is Forgetting; LLM Training as Lossy Compression
Henry Conklin, Tom Hosking, Tan Yi-Chern, Jonathan D. Cohen, Sarah-Jane Leslie, Thomas L. Griffiths, Max Bartolo, Seraphina Goldfarb-Tarrant Learning Koopman Representations with Controllability Guarantees
Keyan Miao, Han Wang, Xuda Ding, Konstantinos Gatsis, Andreas Krause, Antonis Papachristodoulou Learning Linear State-Space Models with Sparse System Matrices
Yasen Wang, Kaiqi Fang, Guijun Ma, Junlin Li, Mengyu Sun, Zhilan Huang, Gang Lu Learning Molecular Chirality via Chiral Determinant Kernels
Runhan Shi, Zhicheng Zhang, Letian Chen, Gufeng Yu, Yang Yang Learning Nonlinear Causal Reductions to Explain Reinforcement Learning Policies
Armin Kekić, Jan Schneider, Dieter Büchler, Bernhard Schölkopf, Michel Besserve Learning of Population Dynamics: Inverse Optimization Meets JKO Scheme
Mikhail Persiianov, Jiawei Chen, Petr Mokrov, Alexander Tyurin, Evgeny Burnaev, Alexander Korotin Learning Ordinal Probabilistic Reward from Preferences
Longze Chen, Lu Wang, Renke Shan, Ze Gong, Run Luo, Jiaming Li, Jing Luo, Qiyao Wang, Min Yang Learning Retrieval Models with Sparse Autoencoders
Thibault Formal, Maxime Louis, Hervé Déjean, Stéphane Clinchant Learning Structure-Semantic Evolution Trajectories for Graph Domain Adaptation
Wei Chen, Xingyu Guo, Shuang Li, Yan Zhong, Zhao Zhang, Fuzhen Zhuang, Hongrui Liu, Libang Zhang, Guo Ye, Huimei He Learning to Answer from Correct Demonstrations
Nirmit Joshi, Gene Li, Siddharth Bhandari, Shiva Kasiviswanathan, Cong Ma, Nathan Srebro Learning to Draft: Adaptive Speculative Decoding with Reinforcement Learning
Jiebin Zhang, Zhenghan Yu, Liang Wang, Nan Yang, Eugene J. Yu, Zheng Li, Yifan Song, Dawei Zhu, Xingxing Zhang, Furu Wei, Sujian Li Learning to Grasp Anything by Playing with Random Toys
Dantong Niu, Yuvan Sharma, Baifeng Shi, Rachel Ding, Matteo Gioia, Haoru Xue, Henry Tsai, Konstantinos Kallidromitis, Anirudh Pai, S. Shankar Sastry, Trevor Darrell, Jitendra Malik, Roei Herzig Learning to Lie: Adversarial Attacks on Human-AI Teams and LLMs
Abed K. Musaffar, Anand Gokhale, Sirui Zeng, Rasta Tadayon, Xifeng Yan, Ambuj Singh, Francesco Bullo Learning to Orchestrate Agents in Natural Language with the Conductor
Stefan Nielsen, Edoardo Cetin, Peter Schwendeman, Qi Sun, Jinglue Xu, Yujin Tang Learning to Play Multi-Follower Bayesian Stackelberg Games
Gerson Personnat, Tao Lin, Safwan Hossain, David C. Parkes Learning to Reason as Action Abstractions with Scalable Mid-Training RL
Shenao Zhang, Donghan Yu, Yihao Feng, Bowen Jin, Zhaoran Wang, John Peebles, Zirui Wang Learning to Reason Efficiently with Discounted Reinforcement Learning
Alex Ayoub, Kavosh Asadi, Dale Schuurmans, Csaba Szepesvari, Karim Bouyarmane Learning to Reason for Hallucination Span Detection
Hsuan Su, Ting-Yao Hu, Hema Swetha Koppula, Kundan Krishna, Hadi Pouransari, Cheng-Yu Hsieh, Cem Koc, Joseph Yitan Cheng, Oncel Tuzel, Raviteja Vemulapalli Learning to Reason via Mixture-of-Thought for Logical Reasoning
Tong Zheng, Lichang Chen, Simeng Han, R. Thomas McCoy, Heng Huang Learning to Reason Without External Rewards
Xuandong Zhao, Zhewei Kang, Aosong Feng, Sergey Levine, Dawn Song Learning to See Before Seeing: Demystifying LLM Visual Priors from Language Pre-Training
Junlin Han, Shengbang Tong, David Fan, Yufan Ren, Koustuv Sinha, Philip Torr, Filippos Kokkinos Learning to Solve Orienteering Problem with Time Windows and Variable Profits
Songqun Gao, Zanxi Ruan, Patrick Floor, Marco Roveri, Luigi Palopoli, Daniele Fontanelli Learning Video Generation for Robotic Manipulation with Collaborative Trajectory Control
Xiao Fu, Xintao Wang, Xian Liu, Jianhong Bai, Runsen Xu, Pengfei Wan, Di Zhang, Dahua Lin Learning What Reinforcement Learning Can't: Interleaved Online Fine-Tuning for Hardest Questions
Lu Ma, Hao Liang, Meiyi Qiang, Lexiang Tang, Xiaochen Ma, Zhen Hao Wong, Junbo Niu, Chengyu Shen, Runming He, Yanhao Li, Wentao Zhang, Bin Cui Learning-Augmented Moment Estimation on Time-Decay Models
Soham Deepak Nagawanshi, Shalini Panthangi, Chen Wang, David Woodruff, Samson Zhou Learning-Time Encoding Shapes Unlearning in LLMs
Ruihan Wu, Konstantin Garov, Kamalika Chaudhuri LearnIR: Learnable Posterior Sampling for Real-World Image Restoration
Yihang Bao, Zhen Huang, Shanyan Guan, Songlin Yang, Yanhao Ge, Wei Li, Bukun Huang, Zengmin Xu LEGATO: Large-Scale End-to-End Generalizable Approach to Typeset OMR
Guang Yang, Victoria Ebert, Nazif Can Tamer, Brian Siyuan Zheng, Luiza Amador Pozzobon, Noah A. Smith LENS: Multi-Level Evaluation of Multimodal Reasoning with Large Language Models
Ruilin Yao, Bo Zhang, Jirui Huang, Xinwei Long, Yifang Zhang, Tianyu Zou, Shili Xiong, Yi Rong, Yufei Wu, Shichao Su, Yifan Xu, Wenxi Zeng, Zhaoyu Yang, Guoyou Li, Shilan Zhang, Zichan Li, Yaxiong Chen, Shengwu Xiong, Peng Xu, Jiajun Zhang, Bowen Zhou, David A. Clifton, Luc Van Gool LeRobot: An Open-Source Library for End-to-End Robot Learning
Remi Cadene, Simon Alibert, Francesco Capuano, Michel Aractingi, Adil Zouitine, Pepijn Kooijmans, Jade Choghari, Martino Russi, Caroline Pascal, Steven Palma, Dana Aubakirova, Mustafa Shukor, Jess Moss, Alexander Soare, Quentin Lhoest, Quentin Gallouédec, Thomas Wolf Less Gaussians, Texture More: 4k Feed-Forward Textured Splatting
Yixing Lao, Xuyang Bai, Xiaoyang Wu, Nuoyuan Yan, Zixin Luo, Tian Fang, Jean-Daniel Nahmias, Yanghai Tsin, Shiwei Li, Hengshuang Zhao Let Features Decide Their Own Solvers: Hybrid Feature Caching for Diffusion Transformers
Shikang Zheng, Guantao Chen, Qinming Zhou, Yuqi Lin, Lixuan He, Chang Zou, Peiliang Cai, Jiacheng Liu, Linfeng Zhang Let OOD Feature Exploring Vast Predefined Classifiers
Kewen Xia, Xiaodong Yue, WeiZhipeng, Yaxin Peng, Zihao Li, Jianxiang Zhu, Jie Shi, PeilinXu Let's (not) Just Put Things in Context: Test-Time Training for Long-Context LLMs
Rachit Bansal, Aston Zhang, Rishabh Tiwari, Lovish Madaan, Sai Surya Duvvuri, Fnu Devvrit, David Brandfonbrener, David Alvarez-Melis, Prajjwal Bhargava, Mihir Kale, Samy Jelassi LEXam: Benchmarking Legal Reasoning on 340 Law Exams
Yu Fan, Jingwei Ni, Jakob Merane, Yang Tian, Yoan Hermstrüwer, Yinya Huang, Mubashara Akhtar, Etienne Salimbeni, Florian Geering, Oliver Dreyer, Daniel Brunner, Markus Leippold, Mrinmaya Sachan, Alexander Stremitzer, Christoph Engel, Elliott Ash, Joel Niklaus LFQA-E: Carefully Benchmarking Long-Form QA Evaluation
Yuchen Fan, Chen Ling, Xin Zhong, Shuo Zhang, Heng Zhou, Yuchen Zhang, Mingyu Liang, Chengxing Xie, Ermo Hua, Zhizhou He, Cheng Huang, Gang Chen, Ning Ding, Bowen Zhou Lifelong Embodied Navigation Learning
Xudong Wang, Jiahua Dong, Baichen Liu, Qi Lyu, Lianqing Liu, Zhi Han Light Differentiable Logic Gate Networks
Lukas Rüttgers, Till Aczel, Andreas Plesner, Roger Wattenhofer Light of Normals: Unified Feature Representation for Universal Photometric Stereo
Houyuan Chen, Hong Li, Chongjie Ye, Zhaoxi Chen, Bohan Li, Shaocong Xu, Xianda Guo, Xuhui Liu, Yikai Wang, Baochang Zhang, Satoshi Ikehata, Boxin Shi, Anyi Rao, Hao Zhao Light-X: Generative 4D Video Rendering with Camera and Illumination Control
Tianqi Liu, Zhaoxi Chen, Zihao Huang, Shaocong Xu, Saining Zhang, Chongjie Ye, Bohan Li, Zhiguo Cao, Wei Li, Hao Zhao, Ziwei Liu LightMem: Lightweight and Efficient Memory-Augmented Generation
Jizhan Fang, Xinle Deng, Haoming Xu, Ziyan Jiang, Yuqi Tang, Ziwen Xu, Shumin Deng, Yunzhi Yao, Mengru Wang, Shuofei Qiao, Huajun Chen, Ningyu Zhang LikePhys: Evaluating Intuitive Physics Understanding in Video Diffusion Models via Likelihood Preference
Jianhao Yuan, Fabio Pizzati, Francesco Pinto, Lars Kunze, Ivan Laptev, Paul Newman, Philip Torr, Daniele De Martini LinearRAG: Linear Graph Retrieval Augmented Generation on Large-Scale Corpora
Luyao Zhuang, Shengyuan Chen, Yilin Xiao, Huachi Zhou, Yujing Zhang, Hao Chen, Qinggang Zhang, Xiao Huang LinearSR: Unlocking Linear Attention for Stable and Efficient Image Super-Resolution
Xiaohui Li, Shaobin Zhuang, Shuo Cao, Yang Yang, Yuandong Pu, Qi Qin, Siqi Luo, Bin Fu, Yihao Liu LingoLoop Attack: Trapping MLLMs via Linguistic Context and State Entrapment into Endless Loops
Jiyuan Fu, Kaixun Jiang, Lingyi Hong, Jinglun Li, HaiJing Guo, Dingkang Yang, Zhaoyu Chen, Wenqiang Zhang LINGOLY-TOO: Disentangling Reasoning from Knowledge with Templatised Orthographic Obfuscation
Jude Khouja, Lingyi Yang, Karolina Korgul, Simeon Hellsten, Vlad A. Neacșu, Harry Mayne, Ryan Othniel Kearns, Andrew M. Bean, Adam Mahdi LinguaMap: Which Layers of LLMs Speak Your Language and How to Tune Them?
J. Ben Tamo, Daniel Carlander-Reuterfelt, Jonathan Rubin, Oleg Poliannikov, Dezhi Hong, Mingxian Wang LiTo: Surface Light Field Tokenization
Jen-Hao Rick Chang, Xiaoming Zhao, Dorian Chan, Oncel Tuzel LiveClin: A Live Clinical Benchmark Without Leakage
Xidong Wang, Guo Shuqi, Yue Shen, Junying Chen, Jian Wang, Jinjie Gu, Ping Zhang, Lei Liu, Benyou Wang LiveMoments: Reselected Key Photo Restoration in Live Photos via Reference-Guided Diffusion
Clara Xue, Zizheng Yan, Zhenning Shi, Yuhang Yu, Jingyu Zhuang, Qi Zhang, Jinwei Chen, Qingnan Fan LiveResearchBench: A Live Benchmark for User-Centric Deep Research in the Wild
Jiayu Wang, Yifei Ming, Riya Dulepet, Qinglin Chen, Austin Xu, Zixuan Ke, Frederic Sala, Aws Albarghouthi, Caiming Xiong, Shafiq Joty LiveWeb-IE: A Benchmark for Online Web Information Extraction
Seungbin Yang, Jihwan Kim, Jaemin Choi, Dongjin Kim, Soyoung Yang, ChaeHun Park, Jaegul Choo LLaVA-FA: Learning Fourier Approximation for Compressing Large Multimodal Models
Pengcheng Zheng, Chaoning Zhang, Jiarong Mo, GuoHui Li, Jiaquan Zhang, Jiahao Zhang, Sihan Cao, Sheng Zheng, Caiyan Qin, Guoqing Wang, Yang Yang LLM as an Algorithmist: Enhancing Anomaly Detectors via Programmatic Synthesis
Hangting Ye, Jinmeng Li, He Zhao, Mingchen Zhuge, Dandan Guo, Yi Chang, Hongyuan Zha LLM DNA: Tracing Model Evolution via Functional Representations
Zhaomin Wu, Haodong Zhao, Ziyang Wang, Jizhou Guo, Qian Wang, Bingsheng He LLM Fingerprinting via Semantically Conditioned Watermarks
Thibaud Gloaguen, Robin Staab, Nikola Jovanović, Martin Vechev LLM Pretraining with Continuous Concepts
Jihoon Tack, Jack Lanchantin, Jane Yu, Andrew Cohen, Ilia Kulikov, Janice Lan, Shibo Hao, Yuandong Tian, Jason E Weston, Xian Li LLM Unlearning with LLM Beliefs
Kemou Li, Qizhou Wang, Yue Wang, Fengpeng Li, Jun Liu, Bo Han, Jiantao Zhou LLM2Fx-Tools: Tool Calling for Music Post-Production
SeungHeon Doh, Junghyun Koo, Marco A. Martínez-Ramírez, Woosung Choi, Wei-Hsiang Liao, Qiyu Wu, Juhan Nam, Yuki Mitsufuji LLMs Are Greedy Agents: Effects of RL Fine-Tuning on Decision-Making Abilities
Thomas Schmied, Jörg Bornschein, Jordi Grau-Moya, Markus Wulfmeier, Razvan Pascanu LLMs as Rules Oracles: Exploring Real-World Multimodal Reasoning in Tabletop Strategy Game Environments
Joseph J Peper, Sai Krishna Gandra, Yunxiang Zhang, Vaibhav Chennareddy, Shloki Jha, Ali Payani, Lu Wang LLMs Get Lost in Multi-Turn Conversation
Philippe Laban, Hiroaki Hayashi, Yingbo Zhou, Jennifer Neville LLMS on TRIAL: Evaluating Judicial Fairness for Large Language Models
Yiran Hu, Zongyue Xue, Haitao Li, Siyuan Zheng, Qingjing Chen, Shaochun Wang, Xihan Zhang, Ning Zheng, Yun Liu, Qingyao Ai, Yiqun Liu, Charles L. A. Clarke, Weixing Shen LLMs Process Lists with General Filter Heads
Arnab Sen Sharma, Giordano Rogers, Natalie Shapira, David Bau Lmgame-Bench: How Good Are LLMs at Playing Games?
Lanxiang Hu, Mingjia Huo, Yuxuan Zhang, Haoyang Yu, Eric P. Xing, Ion Stoica, Tajana Rosing, Haojian Jin, Hao Zhang Locality-Attending Vision Transformer
Sina Hajimiri, Farzad Beizaee, Fereshteh Shakeri, Christian Desrosiers, Ismail Ben Ayed, Jose Dolz Locality-Aware Parallel Decoding for Efficient Autoregressive Image Generation
Zhuoyang Zhang, Luke J. Huang, Chengyue Wu, Shang Yang, Kelly Peng, Yao Lu, Song Han Locally Subspace-Informed Neural Operators for Efficient Multiscale PDE Solving
Alexander Rudikov, Vladimir Fanaskov, Sergei Stepanov, Buzheng Shan, Ekaterina Muravleva, Yalchin Efendiev, Ivan Oseledets LoFT: Low-Rank Adaptation That Behaves like Full Fine-Tuning
Nurbek Tastan, Stefanos Laskaridis, Martin Takáč, Karthik Nandakumar, Samuel Horváth Log Probability Tracking of LLM APIs
Timothee Chauvin, Erwan Le Merrer, Francois Taiani, Gilles Tredan Log-Augmented Generation: Scaling Test-Time Reasoning with Reusable Computation
Peter Baile Chen, Yi Zhang, Dan Roth, Samuel Madden, Jacob Andreas, Mike Cafarella Log-Linear Attention
Han Guo, Songlin Yang, Tarushii Goel, Eric P. Xing, Tri Dao, Yoon Kim LogART: Pushing the Limit of Efficient Logarithmic Post-Training Quantization
Jiawei Xu, Yi Zheng, Chenghe Sun, Taiyu Zhou, Zuqi Zhang, Jie Li, Lirong Zheng, Zhuo Zou LogiConBench: Benchmarking Logical Consistencies of LLMs
Zheng Chen, Chuan Zhou, Fengxiang Cheng, Yip Tin Po, Fenrong Liu, Yisen Wang, Jiajun Chai, Xiaohan Wang, Guojun Yin, Wei Lin, Bo Li, Haoxuan Li, Zhouchen Lin LogicReward: Incentivizing LLM Reasoning via Step-Wise Logical Supervision
Jundong Xu, Hao Fei, Huichi Zhou, Xin Quan, Qijun Huang, Shengqiong Wu, William Yang Wang, Mong-Li Lee, Wynne Hsu LogicXGNN: Grounded Logical Rules for Explaining Graph Neural Networks
Chuqin Geng, Ziyu Zhao, Zhaoyue Wang, Haolin Ye, Yuhe Jiang, Xujie Si Long-Context Generalization with Sparse Attention
Pavlo Vasylenko, Hugo Pitorro, Andre Martins, Marcos Vinicius Treviso Long-Document QA with Chain-of-Structured-Thought and Fine-Tuned SLMs
Zhuowen Liang, Xiaotian Lin, Zhengxuan Zhang, Yuyu Luo, Haixun Wang, Nan Tang Long-Tailed Test-Time Adaptation for Vision-Language Models
Xucong Wang, Zhe Zhao, Zekun Wang, Xiaofeng Cao, Xu Wang, Di Wu, Pengkun Wang, Yang Wang LongHorizonUI: A Unified Framework for Robust Long-Horizon Task Automation of GUI Agent
Bin Kang, Shaoguo Wen, Yifei Bi, Shunlong Wu, Xinbin Yuan, Rui Shao, Junle Wang, Zhuotao Tian LongLive: Real-Time Interactive Long Video Generation
Shuai Yang, Wei Huang, Ruihang Chu, Yicheng Xiao, Yuyang Zhao, Xianbang Wang, Muyang Li, Enze Xie, Ying-Cong Chen, Yao Lu, Song Han, Yukang Chen Look Back to Reason Forward: Revisitable Memory for Long-Context LLM Agents
Yaorui Shi, Yuxin Chen, Siyuan Wang, Sihang Li, Hengxing Cai, Qi Gu, Xiang Wang, An Zhang LoongRL: Reinforcement Learning for Advanced Reasoning over Long Contexts
Siyuan Wang, Gaokai Zhang, Li Lyna Zhang, Ning Shang, Fan Yang, Dongyao Chen, Mao Yang Loopholing Discrete Diffusion: Deterministic Bypass of the Sampling Wall
Mingyu Jo, Jaesik Yoon, Justin Deschenaux, Caglar Gulcehre, Sungjin Ahn LoRA Meets Riemannion: Muon Optimizer for Parametrization-Independent Low-Rank Adapters
Vladimir Bogachev, Vladimir Aletov, Alexander Molozhavenko, Denis Bobkov, Vera Soboleva, Aibek Alanov, Maxim Rakhuba LoRAGen: Structure-Aware Weight Space Learning for LoRA Generation
Hao Huang, Jingtao Ding, Mengqi Liao, Xin Wang, Jinyang Ban, Yuan Yuan, Huaiyu Wan, Yong Li LORE: Jointly Learning the Intrinsic Dimensionality and Relative Similarity Structure from Ordinal Data
Vivek Anand, Alec Helbling, Mark A. Davenport, Gordon J Berman, Sankaraleengam Alagapan, Christopher John Rozell Lossless Vocabulary Reduction for Auto-Regressive Language Models
Daiki Chijiwa, Taku Hasegawa, Kyosuke Nishida, Shin'ya Yamaguchi, Tomoya Ohba, Tamao Sakao, Susumu Takeuchi Lost in Tokenization: Context as the Key to Unlocking Biomolecular Understanding in Scientific LLMs
Kai Zhuang, Jiawei Zhang, Yumou Liu, Hanqun Cao, Chunbin Gu, Mengdi Liu, Zhangyang Gao, Zitong Jerry Wang, Xuanhe Zhou, Pheng-Ann Heng, Lijun Wu, Conghui He, Cheng Tan Low Rank Transformer for Multivariate Time Series Anomaly Detection and Localization
Charalampos Shimillas, Kleanthis Malialis, Konstantinos Fokianos, Marios Polycarpou Low-Latency Neural LiDAR Compression with 2D Context Models
Rui Song, Yan Wang, Tongda Xu, Zhening Liu, Zehong Lin, Jun Zhang Low-Pass Filtering Improves Behavioral Alignment of Vision Models
Max Wolff, Thomas Klein, Evgenia Rusak, Felix A. Wichmann, Wieland Brendel Low-Rank Few-Shot Node Classification by Node-Level Graph Diffusion
Yancheng Wang, Chengshuai Zhao, Dongfang Sun, Huan Liu, Yingzhen Yang LS-Merge: Merging Language Models in Latent Space
Bedionita Soro, Aoxuan Silvia Zhang, Bruno Andreis, Jaehyeong Jo, Song Chong, Sung Ju Hwang LumiTex: Towards High-Fidelity PBR Texture Generation with Illumination Context
Jingzhi Bao, Hongze Chen, Lingting Zhu, Chenyu Liu, Runze Zhang, Keyang Luo, Zeyu Hu, Weikai Chen, Yingda Yin, Xin Wang, Zehong Lin, Jun Zhang, Xiaoguang Han Lumos-1: On Autoregressive Video Generation with Discrete Diffusion from a Unified Model Perspective
Hangjie Yuan, Weihua Chen, Jun Cen, Hu Yu, Jingyun Liang, Shuning Chang, Zhihui Lin, Tao Feng, Pengwei Liu, Jiazheng Xing, Hao Luo, Jiasheng Tang, Fan Wang, Yi Yang LumosX: Relate Any Identities with Their Attributes for Personalized Video Generation
Jiazheng Xing, Fei Du, Hangjie Yuan, Pengwei Liu, Hongbin Xu, Hai Ci, Ruigang Niu, Weihua Chen, Fan Wang, Yong Liu Lyra: Generative 3D Scene Reconstruction via Video Diffusion Model Self-Distillation
Sherwin Bahmani, Tianchang Shen, Jiawei Ren, Jiahui Huang, Yifeng Jiang, Haithem Turki, Andrea Tagliasacchi, David B. Lindell, Zan Gojcic, Sanja Fidler, Huan Ling, Jun Gao, Xuanchi Ren M$^2$-Miner: Multi-Agent Enhanced MCTS for Mobile GUI Agent Data Mining
Rui Lv, Juncheng Mo, Tianyi Chu, Chen Rao, Hongyi Jing, Jiajie Teng, Jiafu Chen, Shiqi Zhang, Liangzi Ding, Shuo Fang, Huaizhong Lin, Ziqiang Dang, Chenguang Ma, Lei Zhao M3CoTBench: Benchmark Chain-of-Thought of MLLMs in Medical Image Understanding
Juntao Jiang, Jiangning Zhang, Yali Bi, Bai Jinsheng, Weixuan Liu, Weiwei Jin, Zhucun Xue, Yong Liu, Xiaobin Hu, Shuicheng Yan MAD-Logic: Multi-Agent Debate Enhances Symbolic Translation and Reasoning
Haocheng Yang, Fengxiang Cheng, Tianjun Yao, Mengyue Yang, Jiajun Chai, Xiaohan Wang, Guojun Yin, Wei Lin, Soummya Kar, Fenrong Liu, Haoxuan Li, Yisen Wang MAGE: Multi-Scale Autoregressive Generation for Offline Reinforcement Learning
Chenxing Lin, Xinhui Gao, Haipeng Zhang, Xinran Li, Haitao Wang, Songzhu Mei, Chenglu Wen, Weiquan Liu, Siqi Shen, Cheng Wang MAGO: Beyond Fixed Hyperparameters with Multi-Objective Pareto Optimization for Hybrid LLM Reasoning
Hongcheng Ding, Xuanze Zhao, Ruiting Deng, Shamsul Nahar Abdullah, Deshinta Arrova Dewi, Liu Qingyu MAGREF: Masked Guidance for Any-Reference Video Generation with Subject Disentanglement
Yufan Deng, Yuanyang Yin, Xun Guo, Yizhi Wang, Jacob Zhiyuan Fang, Shenghai Yuan, Yiding Yang, Angtian Wang, Bo Liu, Haibin Huang, Chongyang Ma Making Slow Thinking Faster: Compressing LLM Chain-of-Thought via Step Entropy
Zeju Li, Jianyuan Zhong, Ziyang Zheng, Xiangyu Wen, Zhijian Xu, Yingying Cheng, Fan Zhang, Qiang Xu Making, Not Taking, the Best of N
Ammar Khairi, Daniel D'souza, Marzieh Fadaee, Julia Kreutzer Mamba-3: Improved Sequence Modeling Using State Space Principles
Aakash Lahoti, Kevin Li, Berlin Chen, Caitlin Wang, Aviv Bick, J Zico Kolter, Tri Dao, Albert Gu ManagerBench: Evaluating the Safety-Pragmatism Trade-Off in Autonomous LLMs
Adi Simhi, Jonathan Herzig, Martin Tutek, Itay Itzhak, Idan Szpektor, Yonatan Belinkov Manipulation as in Simulation: Enabling Accurate Geometry Perception in Robots
Minghuan Liu, Zhengbang Zhu, Xiaoshen Han, PengHu, Haotong Lin, Xinyao Li, Jingxiao Chen, Jiafeng Xu, Yichu Yang, Yunfeng Lin, Xinghang Li, Yong Yu, Weinan Zhang, Tao Kong, Bingyi Kang MANZANO: A Simple and Scalable Unified Multimodal Model with a Hybrid Vision Tokenizer
Yanghao Li, Rui Qian, Bowen Pan, Haotian Zhang, Haoshuo Huang, Bowen Zhang, Jialing Tong, Haoxuan You, Xianzhi Du, Zhe Gan, Hyunjik Kim, Chao Jia, Zhenbang Wang, Yinfei Yang, Mingfei Gao, Zi-Yi Dou, Wenze Hu, Chang Gao, Dongxu Li, Philipp Dufter, Zirui Wang, Guoli Yin, Zhengdong Zhang, Chen Chen, Yang Zhao, Ruoming Pang, Zhifeng Chen Mapping Post-Training Forgetting in Language Models at Scale
Jackson Harmon, Andreas Hochlehnert, Matthias Bethge, Ameya Prabhu Markovian Transformers for Informative Language Modeling
Scott W Viteri, Max Lamparth, Peter Chatain, Clark Barrett MARL2Grid-TR: A Multi-Agent RL Benchmark in Power Grid Operations
Enrico Marchesini, Eva Boguslawski, Alessandro Leite, Christopher Amato, Matthieu Dussartre, Marc Schoenauer, Benjamin Donnot, Priya L. Donti MARS - A Foundational mAP Auto-Regressor
Qi Zhang, Suvam Bag, Rupanjali Kukal, Mikael Figueroa, Rishi Madhok, Nikolaos Karianakis, Fuxun Yu MarS-FM: Generative Modeling of Molecular Dynamics via Markov State Models
Kacper Kapuśniak, Cristian Gabellini, Michael M. Bronstein, Prudencio Tossou, Francesco Di Giovanni MARS-Sep: Multimodal-Aligned Reinforced Sound Separation
Zihan Zhang, Xize Cheng, Zhennan Jiang, Dongjie Fu, Jingyuan Chen, Zhou Zhao, Tao Jin MARSHAL: Incentivizing Multi-Agent Reasoning via Self-Play with Strategic LLMs
Huining Yuan, Zelai Xu, Zheyue Tan, Xiangmin Yi, Mo Guang, Kaiwen Long, Haojia Hui, Boxun Li, Xinlei Chen, Bo Zhao, Xiao-Ping Zhang, Chao Yu, Yu Wang MARTI: A Framework for Multi-Agent LLM Systems Reinforced Training and Inference
Kaiyan Zhang, Kai Tian, Runze Liu, Sihang Zeng, Xuekai Zhu, Guoli Jia, Yuchen Fan, Xingtai Lv, Yuxin Zuo, Che Jiang, Yuru Wang, Jianyu Wang, Ermo Hua, Xinwei Long, Junqi Gao, Youbang Sun, Zhiyuan Ma, Ganqu Cui, Ning Ding, Biqing Qi, Bowen Zhou MAS$^2$: Self-Generative, Self-Configuring, Self-Rectifying Multi-Agent Systems
Kun Wang, Guibin Zhang, ManKit Ye, Xinyu Deng, Dongxia Wang, Xiaobin Hu, Jinyang Guo, Yang Liu, Yufei Guo Masked Generative Policy for Robotic Control
Lipeng Zhuang, Shiyu Fan, Florent P. Audonnet, Yingdong Ru, Edmond S. L. Ho, Gerardo Aragon-Camarasa, Paul Henderson MaskInversion: Localized Embeddings via Optimization of Explainability Maps
Walid Bousselham, Sofian Chaybouti, Christian Rupprecht, Vittorio Ferrari, Hilde Kuehne MASS: MoErging Through Adaptive Subspace Selection
Donato Crisostomi, Alessandro Zirilli, Antonio Andrea Gargiulo, Maria Sofia Bucarelli, Simone Scardapane, Fabrizio Silvestri, Iacopo Masi, Emanuele Rodolà Massive Activations Are the Key to Local Detail Synthesis in Diffusion Transformers
Chaofan Gan, Zicheng Zhao, Yuanpeng Tu, Xi Chen, Ziran Qin, Tieyuan Chen, Mehrtash Harandi, Weiyao Lin Massive Editing for Large Language Models Based on Dynamic Weight Generation
Wentao Wan, Qiqing Lao, Zhiwei Xie, Hefeng Wu, Runnan Lin, Liang Lin, Keze Wang Massive Memorization with Hundreds of Trillions of Parameters for Sequential Transducer Generative Recommenders
Zhimin Chen, Chenyu Zhao, Ka Chun Mo, Yunjiang Jiang, Jane H. Lee, Khushhall Chandra Mahajan, Ning Jiang, Kai Ren, Charlie Li, Wen-Yun Yang MATA: A Trainable Hierarchical Automaton System for Multi-Agent Visual Reasoning
Zhixi Cai, Fucai Ke, Kevin Leo, Sukai Huang, Maria Garcia de la Banda, Peter J. Stuckey, Hamid Rezatofighi Matched Data, Better Models: Target Aligned Data Filtering with Sparse Autoencoders
Arnav Mohanty Das, Gantavya Bhatt, Sahil Verma, Yiping Wang, Viswa Virinchi Muppirala, Jeff Bilmes Matching Without Group Barrier for Heterogeneous Treatment Effect Estimation
Yuguang Yan, Haolin Yang, Shihao Zhang, Weilin Chen, Ruichu Cai, Zhifeng Hao Math Blind: Failures in Diagram Understanding Undermine Reasoning in MLLMs
Yanpeng Sun, Shan Zhang, Wei Tang, Aotian Chen, Piotr Koniusz, Kai Zou, Yuan Xue, Anton van den Hengel MATH-Beyond: A Benchmark for RL to Expand Beyond the Base Model
Prasanna Mayilvahanan, Ricardo Olmedo, Thaddäus Wiedemer, Wieland Brendel Mathesis: Towards Formal Theorem Proving from Natural Languages
Yu Xuejun, Jianyuan Zhong, Zijin Feng, Pengyi Zhai, Roozbeh Yousefzadeh, Wei Chong Ng, Haoxiong Liu, Ziyi Shou, Jing Xiong, Yudong Zhou, Claudia Beth Ong, Austen Jeremy Sugiarto, Yaoxi Zhang, Wai Ming Tai, Huan Cao, Dongcai Lu, Jiacheng Sun, Qiang Xu, Shen Xin, Zhenguo Li MathNet: A Global Multimodal Benchmark for Mathematical Reasoning and Retrieval
Shaden Alshammari, Kevin Wen, Abrar Zainal, Mark Hamilton, Navid Safaei, Sultan Albarakati, William T. Freeman, Antonio Torralba MATRIX: Mask Track Alignment for Interaction-Aware Video Generation
Siyoon Jin, Seongchan Kim, Jae Ho Lee, Dahyun Chung, Hyunwook Choi, Jisu Nam, Jiyoung Kim, Seungryong Kim Matting Anything 2: Towards Video Matting for Anything
Chenyi Zhang, Yiheng Lin, Yunchao Wei, Hongsong Wang, Caifeng Shan, Fang Zhao Maximizing Asynchronicity in Event-Based Neural Networks
Haiqing Hao, Nikola Zubic, Weihua He, Zhipeng Sui, Davide Scaramuzza, Wenhui Wang Maximizing Incremental Information Entropy for Contrastive Learning
Jiansong Zhang, Zhuoqin Yang, Xu Wu, Xiaoling Luo, Peizhong Liu, Linlin Shen MC-Search: Evaluating and Enhancing Multimodal Agentic Search with Structured Long Reasoning Chains
Xuying Ning, Dongqi Fu, Tianxin Wei, Mengting Ai, Jiaru Zou, Ting-Wei Li, Hanghang Tong, Yada Zhu, Hendrik Hamann, Jingrui He MCIF: Multimodal Crosslingual Instruction-Following Benchmark from Scientific Talks
Sara Papi, Maike Züfle, Marco Gaido, Beatrice Savoldi, Danni Liu, Ioannis Douros, Luisa Bentivogli, Jan Niehues mCLM: A Modular Chemical Language Model That Generates Functional and Makeable Molecules
Carl Edwards, Chi Han, Gawon Lee, Thao Nguyen, Sara Szymkuć, Chetan Kumar Prasad, Bowen Jin, Jiawei Han, Ying Diao, Ge Liu, Hao Peng, Bartosz Andrzej Grzybowski, Martin D. Burke, Heng Ji MCP-Bench: Benchmarking Tool-Using LLM Agents with Complex Real-World Tasks via MCP Servers
Zhenting Wang, Qi Chang, Hemani Patel, Shashank Biju, Cheng-En Wu, Quan Liu, Aolin Ding, Alireza Rezazadeh, Ankit Shah, Yujia Bao, Eugene Siow MCPMark: A Benchmark for Stress-Testing Realistic and Comprehensive MCP Use
Zijian Wu, Xiangyan Liu, Xinyuan Zhang, Lingjun Chen, Fanqing Meng, Lingxiao Du, Yiran Zhao, Fanshi Zhang, Yaoqi Ye, Jiawei Wang, Zirui Wang, Jinjie Ni, Yufan Yang, Arvin Xu, Michael Qizhe Shieh Mean Flow Policy with Instantaneous Velocity Constraint for One-Step Action Generation
Guojian Zhan, Letian Tao, Pengcheng Wang, Yixiao Wang, Yuxin Chen, Yiheng Li, Hongyang Li, Masayoshi Tomizuka, Shengbo Eben Li MeanCache: From Instantaneous to Average Velocity for Accelerating Flow Matching Inference
Huanlin Gao, Ping Chen, Fuyuan Shi, Ruijia Wu, Li YanTao, Qiang Hui, Youyuren, Ting Lu, Chao Tan, Shaoan Zhao, Zhaoxiang Liu, Fang Zhao, Kai Wang, Shiguo Lian Measurement Score-Based Diffusion Model
Chicago Y. Park, Shirin Shoushtari, Hongyu An, Ulugbek S. Kamilov Measuring and Mitigating Rapport Bias of Large Language Models Under Multi-Agent Social Interactions
Maojia Song, Tej Deep Pala, Ruiwen Zhou, Weisheng Jin, Amir Zadeh, Chuan Li, Dorien Herremans, Soujanya Poria Measuring Audio's Impact on Correctness: Audio-Contribution-Aware Post-Training of Large Audio Language Models
Haolin He, Xingjian Du, Renhe Sun, Zheqi Dai, Yujia Xiao, Mingru Yang, Jiayi Zhou, Xiquan Li, Zhengxi Liu, Zining Liang, Chunyat Wu, Qianhua He, Tan Lee, Xie Chen, Wei-Long Zheng, Weiqiang Wang, Mark D Plumbley, Jian Liu, Qiuqiang Kong Measuring Uncertainty Calibration
Kamil Ciosek, Nicolò Felicioni, Sina Ghiassian, Juan Elenter, Francesco Tonolini, David Gustafsson, Eva Garcia-Martin, Carmen Barcena Gonzalez, Raphaëlle Bertrand-Lalo MedAgentGym: A Scalable Agentic Training Environment for Code-Centric Reasoning in Biomedical Data Science
Ran Xu, Yuchen Zhuang, Yishan Zhong, Yue Yu, Zifeng Wang, Xiangru Tang, Hang Wu, May Dongmei Wang, Peifeng Ruan, Donghan Yang, Tao Wang, Guanghua Xiao, Xin Liu, Carl Yang, Yang Xie, Wenqi Shi MedAraBench: Large-Scale Arabic Medical Question Answering Dataset and Benchmark
Mouath Abu Daoud, Leen Kharouf, Omar El Hajj, Dana El Samad, Mariam Al-Omari, Jihad Mallat, Khaled Saleh, Nizar Habash, Farah E. Shamout MedGMAE: Gaussian Masked Autoencoders for Medical Volumetric Representation Learning
Xueming Fu, Fenghe Tang, Rongsheng Wang, Yingtai Li, Lixia Han, Jian Lu, Zihang Jiang, S Kevin Zhou Medical Thinking with Multiple Images
Zonghai Yao, Benlu Wang, Yifan Zhang, Junda Wang, Iris Xia, Zhipeng Tang, Shuo Han, Feiyun Ouyang, Zhichao Yang, Arman Cohan, Hong Yu MedLesionVQA: A Multimodal Benchmark Emulating Clinical Visual Diagnosis for Body Surface Health
Deli Yu, Shengzhi Wang, Kai Wu, Xiaozhong Ji, Bo Cui, Jieqiong Cao, Huichao Wang, Boyuan Jiang, Xu Wang, Qian Xu, ChaoGao, Yi Zhao, Dian Chen, Meng Li, Haifeng Wu, Yijun He, Haihua Yang MedVR: Annotation-Free Medical Visual Reasoning via Agentic Reinforcement Learning
Zheng Jiang, Heng Guo, Chengyu Fang, Changchen Xiao, Xinyang Hu, Lifeng Sun, Minfeng Xu MEGS^2: Memory-Efficient Gaussian Splatting via Spherical Gaussians and Unified Pruning
Jiarui Chen, Yikeng Chen, Yingshuang Zou, Ye Huang, Peng Wang, Yuan Liu, Yujing Sun, Wenping Wang MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents
Zijian Zhou, Ao Qu, Zhaoxuan Wu, Sunghwan Kim, Alok Prakash, Daniela Rus, Bryan Kian Hsiang Low, Paul Pu Liang MemAgent: Reshaping Long-Context LLM with Multi-Conv RL-Based Memory Agent
Hongli Yu, Tinghong Chen, Jiangtao Feng, Jiangjie Chen, Weinan Dai, Qiying Yu, Ya-Qin Zhang, Wei-Ying Ma, Jingjing Liu, Mingxuan Wang, Hao Zhou Memba: Membrane-Driven Parameter-Efficient Fine-Tuning for Mamba
Donghyun Lee, Yuhang Li, Ruokai Yin, Shiting Xiao, Priyadarshini Panda Membership Inference Attacks Against Fine-Tuned Diffusion Language Models
Yuetian Chen, Kaiyuan Zhang, Yuntao Du, Edoardo Stoppa, Charles Fleming, Ashish Kundu, Bruno Ribeiro, Ninghui Li Membership Privacy Risks of Sharpness Aware Minimization
Young In Kim, Andrea Agiollo, Pratiksha Agrawal, Johannes O. Royset, Rajiv Khanna Memento: Toward an All-Day Proactive Assistant for Ultra-Long Streaming Video
Hongxiang Jiang, Zengrui Ge, Guo Chen, Qixiong Wang, Jile Jiao, Xuetao Feng, Yuan Wang, Yan Wang Memorization Through the Lens of Sample Gradients
Deepak Ravikumar, Efstathia Soufleri, Abolfazl Hashemi, Kaushik Roy Memory-T1: Reinforcement Learning for Temporal Reasoning in Multi-Session Agents
Yiming Du, Baojun Wang, Yifan Xiang, Zhaowei Wang, Wenyu Huang, Boyang Xue, Bin Liang, Xingshan Zeng, Fei Mi, Haoli Bai, Lifeng Shang, Jeff Z. Pan, Yuxin Jiang, Kam-Fai Wong MemoryVLA: Perceptual-Cognitive Memory in Vision-Language-Action Models for Robotic Manipulation
Hao Shi, Bin Xie, Yingfei Liu, Lin Sun, Fengrong Liu, Tiancai Wang, Erjin Zhou, Haoqiang Fan, Xiangyu Zhang, Gao Huang MENLO: From Preferences to Proficiency – Evaluating and Modeling Native-like Quality Across 47 Languages
Chenxi Whitehouse, Sebastian Ruder, Tony Zhiyang Lin, Oksana Kurylo, Haruka Takagi, Janice Lam, Nicolò Busetto, Denise Diaz MergePRAG: Orthogonal Merging of Passage-Experts for Multi-Hop Parametric RAG
Xuebing Liu, Shanbao Qiao, Roseline Nyange, Dongwook Min, Hyun Kim, Seung-Hoon Na MergOPT: A Merge-Aware Optimizer for Robust Model Merging
Enneng Yang, Qun Yang, Peng Wang, Anke Tang, Guibing Guo, Xiaochun Cao, Li Shen MesaNet: Sequence Modeling by Locally Optimal Test-Time Training
Johannes von Oswald, Nino Scherrer, Seijin Kobayashi, Luca Versari, Songlin Yang, Maximilian Schlegel, Kaitlin Maile, Yanick Schimpf, Oliver Sieberling, Alexander Meulemans, Guillaume Lajoie, Rif A. Saurous, Charlotte Frenkel, Razvan Pascanu, Blaise Aguera y Arcas, Joao Sacramento MeSH: Memory-as-State-Highways for Recursive Transformers
Chengting Yu, Xiaobo Shu, Yadao Wang, Yizhen Zhang, Haoyi Wu, Jiaang Li, Rujiao Long, Ziheng Chen, Yuchi Xu, Wenbo Su, Bo Zheng Meta-RL Induces Exploration in Language Agents
Yulun Jiang, Liangze Jiang, Damien Teney, Michael Moor, Maria Brbic MetaCaptioner: Towards Generalist Visual Captioning with Open-Source Suites
Zhenxin Lei, Zhangwei Gao, Changyao Tian, Erfei Cui, Guanzhou Chen, Danni Yang, Yuchen Duan, Zhaokai Wang, Wenhao Li, Weiyun Wang, Xiangyu Zhao, Jiayi Ji, Yu Qiao, Wenhai Wang, Gen Luo MetaEmbed: Scaling Multimodal Retrieval at Test-Time with Flexible Late Interaction
Zilin Xiao, Qi Ma, Mengting Gu, Chun-cheng Jason Chen, Xintao Chen, Vicente Ordonez, Vijai Mohan MetaMuse: Algorithm Generation via Creative Ideation
Ruiying Ma, Chieh-Jan Mike Liang, Yanjie Gao, Francis Y. Yan MetaVLA: Unified Meta Co-Training for Efficient Embodied Adaptation
Chen Li, Zhantao Yang, Han Zhang, Fangyi Chen, Chenchen Zhu, Anudeepsekhar Bolimera, Marios Savvides Metis: Training LLMs with FP4 Quantization
Hengjie Cao, Mengyi Chen, Yifeng Yang, Fang Dong, Ruijun Huang, Jixian Zhou, Anrui Chen, Mingzhi Dong, Yujiang Wang, Jinlong Hou, Yuan Cheng, Fan Wu, Fan Yang, Tun Lu, Ning Gu, Li Shang Metric $k$-Clustering Using Only Weak Comparison Oracles
Rahul Raychaudhury, Aryan Esmailpour, Sainyam Galhotra, Stavros Sintos MHLA: Restoring Expressivity of Linear Attention via Token-Level Multi-Head
Kewei Zhang, Ye Huang, Yufan Deng, Jincheng Yu, Junsong Chen, Huan Ling, Enze Xie, Daquan Zhou MIAM: Modality Imbalance-Aware Masking for Multimodal Ecological Applications
Robin Zbinden, Wesley Monteith-Finas, Gencer Sumbul, Nina van Tiel, Chiara Vanalli, Devis Tuia Micro-Macro Retrieval: Reducing Long-Form Hallucination in Large Language Models
Yujie Feng, Jian Li, Zhihan Zhou, Pengfei Xu, Yujia Zhang, Xiaoyu Li, Xiaohui Zhou, Alan Zhao, Xi Chen, Xiao-Ming Wu MicroVerse: A Preliminary Exploration Toward a Micro-World Simulation
Rongsheng Wang, Minghao Wu, Hongru Zhou, Zhihan Yu, Zhenyang Cai, Junying Chen, Benyou Wang MIDAS: Multi-Image Dispersion and Semantic Reconstruction for Jailbreaking MLLMs
Yilian Liu, Xiaojun Jia, Guoshun Nan, Jiuyang Lyu, Zhican Chen, Tao Guan, Shuyuan Luo, Zhongyi Zhai, Yang Liu MILR: Improving Multimodal Image Generation via Test-Time Latent Reasoning
Yapeng Mi, Yanpeng Zhao, Hengli Li, Chenxi Li, Huimin Wu, Xiaojian Ma, Song-Chun Zhu, Ying Nian Wu, Qing Li MIMIC-Bench: Exploring the User-like Thinking and Mimicking Capabilities of Multimodal Large Language Models
Jiajie Teng, Huiyu Duan, Sijing Wu, Jiarui Wang, Xilei Zhu, Jianing Jin, Wei Shen, Xiongkuo Min, Guangtao Zhai MIMIC: Mask-Injected Manipulation Video Generation with Interaction Control
Tianxiao Chen, Jintao Rong, Huajin Chen, Jingya Wang, Tao Zhou, Jiming Chen, Qi Ye MindCube: Spatial Mental Modeling from Limited Views
Qineng Wang, Baiqiao Yin, Pingyue Zhang, Jianshu Zhang, Kangrui Wang, Zihan Wang, Jieyu Zhang, Keshigeyan Chandrasegaran, Han Liu, Ranjay Krishna, Saining Xie, Jiajun Wu, Li Fei-Fei, Manling Li Mini-Cluster Guided Long-Tailed Deep Clustering
Zhixin Li, Yuheng Jia, Guanliang Chen, Hui Liu, Junhui Hou Minimax-Optimal Aggregation for Density Ratio Estimation
Lukas Gruber, Markus Holzleitner, Sepp Hochreiter, Werner Zellinger Mitigating Mismatch Within Reference-Based Preference Optimization
Suqin Yuan, Xingrui Yu, Jiyang Zheng, Lei Feng, Dadong Wang, Ivor Tsang, Tongliang Liu Mitigating Non-IID Drift in Zeroth-Order Federated LLM Fine-Tuning with Transferable Sparsity
Yide Ran, Wentao Guo, Jingwei Sun, Yanzhou Pan, Xiaodong Yu, Hao Wang, Jianwen Xie, Yiran Chen, Denghui Zhang, Zhaozhuo Xu Mitigating Privacy Risk via Forget Set-Free Unlearning
Aviraj Newatia, Michael Cooper, Viet Nguyen, Rahul G Krishnan Mitigating Semantic Collapse in Generative Personalization with Test-Time Embedding Adjustment
Anh Tuan Bui, Thuy-Trang Vu, Trung Le, Junae Kim, Tamas Abraham, Rollin Omari, Amardeep Kaur, Dinh Phung Mix-Ecom: Towards Mixed-Type E-Commerce Dialogues with Complex Domain Rules
Chenyu Zhou, Xiaoming Shi, Hui Qiu, Yankai Jiang, ShaoGuo Liu, Tingting Gao, Haitao Leng, Xiawu Zheng, Rongrong Ji Mixed-Curvature Tree-Sliced Wasserstein Distance
Duy-Tung Pham, Viet-Hoang Tran, Thieu Vo, Tan Minh Nguyen Mixture of Cognitive Reasoners: Modular Reasoning with Brain-like Specialization
Badr AlKhamissi, C. Nicolò De Sabbata, Greta Tuckute, Zeming Chen, Martin Schrimpf, Antoine Bosselut Mixture of Contexts for Long Video Generation
Shengqu Cai, Ceyuan Yang, Lvmin Zhang, Yuwei Guo, Junfei Xiao, Ziyan Yang, Yinghao Xu, Zhenheng Yang, Alan Yuille, Leonidas Guibas, Maneesh Agrawala, Lu Jiang, Gordon Wetzstein Mixture of Mini Experts: Overcoming the Linear Layer Bottleneck in Multiple Instance Learning
Daniel Shao, Joel Runevic, Richard J. Chen, Drew FK Williamson, Ahrong Kim, Andrew H. Song, Faisal Mahmood Mixture-of-Experts Can Surpass Dense LLMs Under Strictly Equal Resource
Houyi Li, Ka Man Lo, Shijie Xuyang, Ziqi Wang, Wenzhen Zheng, Haocheng Zhang, Zhao Li, Shuigeng Zhou, Xiangyu Zhang, Daxin Jiang MLE-Smith: Scaling MLE Tasks with Automated Multi-Agent Pipeline
Rushi Qiang, Yuchen Zhuang, Anikait Singh, Percy Liang, Chao Zhang, Sherry Yang, Bo Dai MLP Memory: A Retriever-Pretrained Memory for Large Language Models
Rubin Wei, Jiaqi Cao, Jiarui Wang, Jushi Kai, Qipeng Guo, Bowen Zhou, Zhouhan Lin MM-HELIX: Boosting Multimodal Long-Chain Reflective Reasoning with Holistic Platform and Adaptive Hybrid Policy Optimization
Xiangyu Zhao, Junming Lin, Tianhao Liang, Yifan Zhou, Wenhao Chai, Yuzhe Gu, Weiyun Wang, Kai Chen, Gen Luo, Junchi Yan, Wenwei Zhang, Hua Yang, Haodong Duan, Xue Yang MMaDA-Parallel: Multimodal Large Diffusion Language Models for Thinking-Aware Editing and Generation
Ye Tian, Ling Yang, JiongFan Yang, Anran Wang, Yu Tian, Jiani Zheng, Haochen Wang, Zhiyang Teng, Zhuochen Wang, Yinjie Wang, Yunhai Tong, Mengdi Wang, Xiangtai Li MME-Emotion: A Holistic Evaluation Benchmark for Emotional Intelligence in Multimodal Large Language Models
Fan Zhang, Zebang Cheng, Chong Deng, Haoxuan Li, Zheng Lian, Qian Chen, Huadai Liu, Wen Wang, YiFan Zhang, Renrui Zhang, Ziyu Guo, Zhihong Zhu, Hao Wu, Haixin Wang, Yefeng Zheng, Xiaojiang Peng, Xian Wu, Kun Wang, Xiangang Li, Jieping Ye, Pheng-Ann Heng MME-Unify: A Comprehensive Benchmark for Unified Multimodal Understanding and Generation Models
Wulin Xie, YiFan Zhang, Chaoyou Fu, Yang Shi, Jianshu Zeng, Bingyan Nie, Hongkai Chen, Zhang Zhang, Liang Wang MMedAgent-RL: Optimizing Multi-Agent Collaboration for Multimodal Medical Reasoning
Peng Xia, Jinglu Wang, Yibo Peng, Kaide Zeng, Zihan Dong, Xian Wu, Xiangru Tang, Hongtu Zhu, Yun Li, Linjun Zhang, Shujie Liu, Yan Lu, Huaxiu Yao MMR-Life: Piecing Together Real-Life Scenes for Multimodal Multi-Image Reasoning
Jiachun Li, Shaoping Huang, Zhuoran Jin, Chenlong Zhang, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao MMR-V: What's Left Unsaid? a Benchmark for Multimodal Deep Reasoning in Videos
Kejian Zhu, Zhuoran Jin, Hongbang Yuan, Jiachun Li, Shangqing Tu, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao MMReD: A Cross-Modal Benchmark for Dense Context Reasoning
Maxim Kurkin, Boris Shirokikh, Irina Abdullaeva, Viktoriia A. Chekalina, Andrey Kuznetsov MMSearch-Plus: Benchmarking Provenance-Aware Search for Multimodal Browsing Agents
Xijia Tao, Teng Yihua, Xinxing Su, Xinyu Fu, Jihao Wu, Chaofan Tao, Ziru Liu, Haoli Bai, Rui Liu, Lingpeng Kong MMSI-Bench: A Benchmark for Multi-Image Spatial Intelligence
Sihan Yang, Runsen Xu, Yiman Xie, Sizhe Yang, Mo Li, Jingli Lin, Chenming Zhu, Xiaochen Chen, Haodong Duan, Xiangyu Yue, Dahua Lin, Tai Wang, Jiangmiao Pang MMSU: A Massive Multi-Task Spoken Language Understanding and Reasoning Benchmark
Dingdong Wang, Junan Li, Jincenzi Wu, Dongchao Yang, Xueyuan Chen, Tianhua Zhang, Helen M. Meng MnemoDyn: Learning Resting State Dynamics from $40$k FMRI Sequences
Sourav Pal, Viet Luong, Hoseok Lee, Tingting Dan, Guorong Wu, Richard Davidson, Won Hwa Kim, Vikas Singh MOAI: Module-Optimizing Architecture for Non-Interactive Secure Transformer Inference
Linru Zhang, Xiangning Wang, Jun Jie Sim, Zhicong Huang, Jiahao Zhong, Huaxiong Wang, Pu Duan, Kwok-Yan Lam MoAlign: Motion-Centric Representation Alignment for Video Diffusion Models
Aritra Bhowmik, Denis Korzhenkov, Cees G. M. Snoek, Amir Habibian, Mohsen Ghafoorian MoBE: Mixture-of-Basis-Experts for Compressing MoE-Based LLMs
Xiaodong Chen, Mingming Ha, Zhenzhong Lan, Jing Zhang, Jianguo Li MobiEdit: Resource-Efficient Knowledge Editing for Personalized On-Device LLMs
Zhenyan Lu, Daliang Xu, Dongqi Cai, Zexi Li, Wei Liu, Jian Luan, Fangming Liu, Shangguang Wang, Mengwei Xu MobileIPL: Enhancing Mobile Agents Thinking Process via Iterative Preference Learning
Kun Huang, Weikai Xu, Yuxuan Liu, Quandong Wang, Pengzhi Gao, Wei Liu, Jian Luan, Bin Wang, Bo An MobileKGQA: On-Device KGQA System on Dynamic Mobile Environments
Junyong Ahn, Hyeongrok Han, Bong Gyun Kang, Jisoo Mok, Byunghan Lee, Sungroh Yoon MobileLLM-R1: Exploring the Limits of Sub-Billion Language Model Reasoners with Open Training Recipes
Changsheng Zhao, Ernie Chang, Zechun Liu, Chia-Jung Chang, Wei Wen, Chen Lai, Sheng Cao, Yuandong Tian, Raghuraman Krishnamoorthi, Yangyang Shi, Vikas Chandra MobileRL: Online Agentic Reinforcement Learning for Mobile GUI Agents
Yifan Xu, Xiao Liu, Xinghan Liu, Jiaqi Fu, Jiayu Huang, Hanchen Zhang, Bohao Jing, Shudan Zhang, Yuting Wang, Zhao Wenyi, Yuxiao Dong Mod-Adapter: Tuning-Free and Versatile Multi-Concept Personalization via Modulation Adapter
Weizhi Zhong, Huan Yang, Zheng Liu, Huiguo He, Zijian He, Xuesong Niu, Di Zhang, Guanbin Li Modality Alignment Across Trees on Heterogeneous Hyperbolic Manifolds
Wu Wei, Xiaomeng Fan, Yuwei Wu, Zhi Gao, Pengxiang Li, Yunde Jia, Mehrtash Harandi Model Predictive Adversarial Imitation Learning for Planning from Observation
Tyler Han, Yanda Bao, Bhaumik Mehta, Gabriel Guo, Sanghun Jung, Anubhav Vishwakarma, Emily Kang, Rosario Scalise, Jason Liren Zhou, Bryan Xu, Byron Boots Model-Guided Microstimulation Steers Primate Visual Behavior
Johannes Mehrer, Ben Lonnqvist, Anna Mitola, Paolo Papale, Martin Schrimpf Modeling Others' Minds as Code
Kunal Jha, Aydan Yuenan Huang, Eric Ye, Natasha Jaques, Max Kleiman-Weiner Modeling the Density of Pixel-Level Self-Supervised Embeddings for Unsupervised Pathology Segmentation in Medical CT
Mikhail Goncharov, Eugenia Soboleva, Daniil Ignatyev, Mariia Donskova, Mikhail Belyaev, Ivan Oseledets, Marina Munkhoeva, Maxim Panov MoDr: Mixture-of-Depth-Recurrent Transformers for Test-Time Reasoning
Xiaojing Zhang, Haifeng Wu, Gang He, Jiyang Shen, Bochen Lyu, Zhanxing Zhu MoE-GS: Mixture of Experts for Dynamic Gaussian Splatting
In-Hwan Jin, Hyeongju Mun, Joonsoo Kim, Kugjin Yun, Kyeongbo Kong MoGA: Mixture-of-Groups Attention for End-to-End Long Video Generation
Weinan Jia, Yuning Lu, Mengqi Huang, Hualiang Wang, Binyuan Huang, Nan Chen, Mu Liu, Jidong Jiang, Zhendong Mao MoL: Adaptive Mixture-of-Length Reasoning for Efficient Question Answering with Context
Guocong Li, Jinjian Zhang, Ping Wang, Dongnan Liu, Tian Liang, Qiuyi Qi, Hao Huang, Siyan Guo, Mutian Bao, Wei Zhou, Linjian Mo, Hongxia Xu, Jian Wu MolLangBench: A Comprehensive Benchmark for Language-Prompted Molecular Structure Recognition, Editing, and Generation
Feiyang Cai, Jiahui Bai, Tao Tang, Guijuan He, Joshua Luo, Tianyu Zhu, Srikanth Pilla, Gang Li, Ling Liu, Feng Luo MOLM: Mixture of LoRA Markers
Samar Fares, Nurbek Tastan, Noor Hazim Hussein, Karthik Nandakumar MoM: Linear Sequence Modeling with Mixture-of-Memories
Jusen Du, Weigao Sun, Disen Lan, Jiaxi Hu, Tao Zhang, Yu Cheng MoMa: A Simple Modular Learning Framework for Material Property Prediction
Botian Wang, Yawen Ouyang, Yaohui Li, Mianzhi Pan, Yuanhang Tang, Haorui Cui, Yiqun Wang, Jianbing Zhang, Xiaonan Wang, Wei-Ying Ma, Hao Zhou MoMaGen: Generating Demonstrations Under Soft and Hard Constraints for Multi-Step Bimanual Mobile Manipulation
Chengshu Li, Mengdi Xu, Arpit Bahety, Hang Yin, Yunfan Jiang, Huang Huang, Josiah Wong, Sujay Garlanka, Cem Gokmen, Ruohan Zhang, Weiyu Liu, Jiajun Wu, Roberto Martín-Martín, Li Fei-Fei MomaGraph: State-Aware Unified Scene Graphs with Vision-Language Models for Embodied Task Planning
Yuanchen Ju, Yongyuan Liang, Yen-Jen Wang, Gireesh Nandiraju, Yuanliang Ju, Seungjae Lee, Qiao Gu, Elvis Hsieh, Furong Huang, Koushil Sreenath Monitoring Decomposition Attacks with Lightweight Sequential Monitors
Chen Yueh-Han, Nitish Joshi, Yulin Chen, Maksym Andriushchenko, Rico Angell, He He Monocular Normal Estimation via Shading Sequence Estimation
Zongrui Li, Xinhua Ma, Minghui Hu, Yunqing Zhao, Yingchen Yu, Qian Zheng, Chang Liu, Xudong Jiang, Song Bai MoRA: Missing Modality Low-Rank Adaptation for Visual Recognition
Shu Zhao, Nilesh Ahuja, Tan Yu, Tianyi Shen, Vijaykrishnan Narayanan MoRA: Mobility as the Backbone for Geospatial Representation Learning at Scale
Ya Wen, Jixuan Cai, Qiyao Ma, Linyan Li, Xinhuan Chen, Chris Webster, Yulun Zhou More than What Was Chosen: LLM-Based Explainable Recommendation Beyond Noisy User Preferences
Chung Park, Hyeongjun Yun, Taesan Kim, Junui Hong, Dongjoon Hong, Mira Myong, Jihoon Oh, MinCheol Cho, Kijung Park, Min sung Choi, Jihwan Seok, Jaegul Choo More Thought, Less Accuracy? on the Dual Nature of Reasoning in Vision-Language Models
Xinyu Tian, Shu Zou, Zhaoyuan Yang, Mengqi He, Fabian Waschkowski, Lukas Wesemann, Peter Henry Tu, Jing Zhang MoReBench: Evaluating Procedural and Pluralistic Moral Reasoning in Language Models, More than Outcomes
Yu Ying Chiu, Michael S. Lee, Rachel Calcott, Brandon Handoko, Paul de Font-Reaulx, Paula Rodriguez, Chen Bo Calvin Zhang, Ziwen Han, Udari Madhushani Sehwag, Yash Maurya, Christina Q Knight, Harry R. Lloyd, Florence Bacus, Mantas Mazeika, Bing Liu, Yejin Choi, Mitchell L Gordon, Sydney Levine MoSA: Motion-Coherent Human Video Generation via Structure-Appearance Decoupling
Haoyu Wang, Hao Tang, Donglin Di, Zhilu Zhang, Wangmeng Zuo, Feng Gao, Siwei Ma, Shiliang Zhang Motion-R1: Enhancing Motion Generation with Decomposed Chain-of-Thought and RL Binding
Runqi Ouyang, Haoyun Li, Zhenyuan Zhang, Xiaofeng Wang, Zeyu Zhang, Zheng Zhu, Guan Huang, Sirui Han, Xingang Wang MotionGPT3: Human Motion as a Second Modality
Bingfan Zhu, Biao Jiang, Sunyi Wang, Shixiang Tang, Tao Chen, Linjie Luo, Youyi Zheng, Xin Chen MotionSight: Boosting Fine-Grained Motion Understanding in Multimodal LLMs
Yipeng Du, Tiehan Fan, Kepan Nan, Rui Xie, Penghao Zhou, Xiang Li, Jian Yang, Zhenheng Yang, Ying Tai MotionStream: Real-Time Video Generation with Interactive Motion Controls
Joonghyuk Shin, Zhengqi Li, Richard Zhang, Jun-Yan Zhu, Jaesik Park, Eli Shechtman, Xun Huang MotionWeaver: Holistic 4D-Anchored Framework for Multi-Humanoid Image Animation
Xirui Hu, Yanbo Ding, Jiahao Wang, Tingting Shi, Yali Wang, Guo Zhi Zhi, Weizhan Zhang Moving Beyond Medical Exams: A Clinician-Annotated Fairness Dataset of Real-World Tasks and Ambiguity in Mental Healthcare
Max Lamparth, Declan Grabb, Amy Franks, Scott Gershan, Kaitlyn N Kunstman, Aaron Lulla, Monika Drummond Roots, Manu Sharma, Aryan Shrivastava, Nina Vasan, Colleen Waickman mR3: Multilingual Rubric-Agnostic Reward Reasoning Models
David Anugraha, Shou-Yi Hung, Zilu Tang, En-Shiun Annie Lee, Derry Tanti Wijaya, Genta Indra Winata MRAD: Zero-Shot Anomaly Detection with Memory-Driven Retrieval
Chaoran Xu, Chengkan Lv, Qiyu Chen, Feng Zhang, Zhengtao Zhang MrRoPE: Mixed-Radix Rotary Position Embedding
Qingyuan Tian, Wenhong Zhu, Xiaoran Liu, Xiaofeng Wang, Rui Wang MT-DAO: Multi-Timescale Distributed Adaptive Optimizers with Local Updates
Alex Iacob, Andrej Jovanovic, Mher Safaryan, Meghdad Kurmanji, Lorenzo Sani, Samuel Horváth, William F. Shen, Xinchi Qiu, Nicholas D. Lane MTVCraft: Tokenizing 4D Motion for Arbitrary Character Animation
Yanbo Ding, Xirui Hu, Guo Zhi Zhi, Yan Zhang, Xinrui Wang, Zhixiang He, Chi Zhang, Yali Wang, Xuelong Li Much Ado About Noising: Dispelling the Myths of Generative Robotic Control
Chaoyi Pan, Giri Anantharaman, Nai-Chieh Huang, Claire Jin, Daniel Pfrommer, Chenyang Yuan, Frank Permenter, Guannan Qu, Nicholas Matthew Boffi, Guanya Shi, Max Simchowitz Multi-Agent Debate with Memory Masking
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Penghai Zhao, Jinyu Tian, Qinghua Xing, Xin Zhang, Zheng Li, Jianjun Qian, Ming-Ming Cheng, Xiang Li Nano3D: A Training-Free Approach for Efficient 3D Editing Without Masks
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Linghao Kong, Angelina Ning, Micah Adler, Nir N Shavit Negotiated Reasoning: On Provably Addressing Relative Over-Generalization
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Yufei Zhu, Shih-Min Yang, Andrey Rudenko, Tomasz Piotr Kucner, Achim J. Lilienthal, Martin Magnusson Nemotron-CC-Math: A 133 Billion-Token-Scale High Quality Math Pretraining Dataset
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Youjun Wang, Boqi Li, Xin Zou, Weiwei Liu Neural Dynamics Self-Attention for Spiking Transformers
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Chaolong Ying, Yingqi Ruan, Xuemin Chen, Yaomin Wang, Tianshu Yu Neural Latent Arbitrary Lagrangian-Eulerian Grids for Fluid-Solid Interaction
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Yihong Huang, Fei Ma, Yihua Shao, Jingcai Guo, Zitong Yu, Laizhong Cui, Qi Tian Obfuscated Activations Bypass LLM Latent-Space Defenses
Luke Bailey, Alex Serrano, Abhay Sheshadri, Mikhail Seleznyov, Jordan Taylor, Erik Jenner, Jacob Hilton, Stephen Casper, Carlos Guestrin, Scott Emmons Object Fidelity Diffusion for Remote Sensing Image Generation
Ziqi Ye, Shuran Ma, Jie Yang, Xiaoyi Yang, Yi Yang, Ziyang Gong, Xue Yang, Haipeng Wang Object-Centric Refinement for Enhanced Zero-Shot Segmentation
Srinivasa Rao Nandam, Sara Atito, Zhenhua Feng, Josef Kittler, Muhammad Awais OBS-Diff: Accurate Pruning for Diffusion Models in One-Shot
Junhan Zhu, Hesong Wang, Mingluo Su, Zefang Wang, Huan Wang Obscure but Effective: Classical Chinese Jailbreak Prompt Optimization via Bio-Inspired Search
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Daniel Wang, Patrick Rim, Tian Tian, Dong Lao, Alex Wong, Ganesh Sundaramoorthi ODEBrain: Continuous-Time EEG Graph for Modeling Dynamic Brain Networks
Haohui Jia, Zheng Chen, Lingwei Zhu, Rikuto Kotoge, Jathurshan Pradeepkumar, Yasuko Matsubara, Jimeng Sun, Yasushi Sakurai, Takashi Matsubara ODESteer: A Unified ODE-Based Steering Framework for LLM Alignment
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Liu Yang, Huiyu Duan, Ran Tao, Juntao Cheng, Sijing Wu, Yunhao Li, Jing Liu, Xiongkuo Min, Guangtao Zhai Off-Policy Evaluation for Ranking Policies Under Deterministic Logging Policies
Koichi Tanaka, Kazuki Kawamura, Takanori Muroi, Yusuke Narita, Yuki Sasamoto, Kei Tateno, Takuma Udagawa, Wei-Wei Du, Yuta Saito OffTopicEval: When Large Language Models Enter the Wrong Chat, Almost Always!
Jingdi Lei, Varun Gumma, Rishabh Bhardwaj, Seok Min Lim, Chuan Li, Amir Zadeh, Soujanya Poria Omni-Captioner: Data Pipeline, Models, and Benchmark for Omni Detailed Perception
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Chenda Duan, Yipeng Zhang, Sotaro Kanai, Yuanyi Ding, Atsuro Daida, Pengyue Yu, Tiancheng Zheng, Naoto Kuroda, Shaun A. Hussain, Eishi Asano, Hiroki Nariai, Vwani Roychowdhury Omni-Reward: Towards Generalist Omni-Modal Reward Modeling with Free-Form Preferences
Zhuoran Jin, Hongbang Yuan, Kejian Zhu, Jiachun Li, Pengfei Cao, Yubo Chen, Kang Liu, Jun Zhao Omni-View: Unlocking How Generation Facilitates Understanding in Unified 3D Model Based on Multiview Images
JiaKui Hu, Shanshan Zhao, Qing-Guo Chen, Xuerui Qiu, Jialun Liu, Zhao Xu, Weihua Luo, Kaifu Zhang, Yanye Lu Omni-Weather: A Unified Multimodal Model for Weather Radar Understanding and Generation
Zhiwang Zhou, Yuandong Pu, Xuming He, Yidi Liu, Yixin Chen, Junchao Gong, Xiang Zhuang, Wanghan Xu, Qinglong Cao, Shixiang Tang, Yihao Liu, Wenlong Zhang, Lei Bai OmniActor: A Generalist GUI and Embodied Agent for 2D&3D Worlds
Longrong Yang, Zhixiong Zeng, Yufeng Zhong, Huang Jing, Liming Zheng, Lei Chen, Haibo Qiu, Zequn Qin, Lin Ma, Xi Li OmniCT: Towards a Unified Slice-Volume LVLM for Comprehensive CT Analysis
Tianwei Lin, Zhongwei Qiu, Wenqiao Zhang, Jiang Liu, Yihan Xie, Mingjian Gao, Zhenxuan Fan, Zhaocheng Li, Sijing Li, Zhongle Xie, Peng Lu, Yueting Zhuang, Ling Zhang, Beng Chin Ooi, Yingda Xia OmniCVR: A Benchmark for Omni-Composed Video Retrieval with Vision, Audio, and Text
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Yuecheng Liu, DaFeng Chi, Shiguang Wu, Zhanguang Zhang, Yuzheng Zhuang, Bowen Yang, He Zhu, Lingfeng Zhang, Pengwei Xie, David Gamaliel Arcos Bravo, Yingxue Zhang, Jianye Hao, Xingyue Quan OmniMouse: Scaling Properties of Multi-Modal, Multi-Task Brain Models on 150b Neural Tokens
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Jiali Yao, Xin Gu, Xinran Deng, Mengrui Dai, Bing Fan, Zhipeng Zhang, Yan Huang, Heng Fan, Libo Zhang OmniText: A Training-Free Generalist for Controllable Text-Image Manipulation
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Neil G Marchant, Andrew Craig Cullen, Feng Liu, Sarah Monazam Erfani On the Design of KL-Regularized Policy Gradient Algorithms for LLM Reasoning
Yifan Zhang, Yifeng Liu, Huizhuo Yuan, Yang Yuan, Quanquan Gu, Andrew C Yao On the Design of One-Step Diffusion via Shortcutting Flow Paths
Haitao Lin, Peiyan Hu, Minsi Ren, Zhifeng Gao, Zhi-Ming Ma, Guolin Ke, Tailin Wu, Stan Z. Li On the Eligibility of LLMs for Counterfactual Reasoning: A Decompositional Study
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Gongjie Zhang, Wenhao Li, Quanhao Qian, Jiuniu Wang, Deli Zhao, Shijian Lu, Ran Xu On the Generalization of SFT: A Reinforcement Learning Perspective with Reward Rectification
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Gabriela Moisescu-Pareja, Gavin McCracken, Harley Wiltzer, Colin Daniels, Vincent Létourneau, Doina Precup, Jonathan Love On the Impact of the Utility in Semivalue-Based Data Valuation
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Mingyang Liu, Yongshan Chen, Zhiyuan Fan, Gabriele Farina, Asuman E. Ozdaglar, Kaiqing Zhang Online Pseudo-Zeroth-Order Training of Neuromorphic Spiking Neural Networks
Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Di He, Dongsheng Li, Zhouchen Lin Only Brains Align with Brains: Cross-Region Alignment Patterns Expose Limits of Normative Models
Larissa Höfling, Matthias Tangemann, Lotta Piefke, Susanne Keller, Matthias Bethge, Katrin Franke Open Data Synthesis for Deep Research
Ziyi Xia, Kun Luo, Hongjin Qian, Siqi Bao, Zheng Liu OpenAgentSafety: A Comprehensive Framework for Evaluating Real-World AI Agent Safety
Sanidhya Vijayvargiya, Aditya Bharat Soni, Xuhui Zhou, Zora Zhiruo Wang, Nouha Dziri, Graham Neubig, Maarten Sap OpenApps: Simulating Environment Variations to Measure UI Agent Reliability
Karen Ullrich, Jingtong Su, Claudia Shi, Arjun Subramonian, Amir Bar, Ivan Evtimov, Nikolaos Tsilivis, Randall Balestriero, Julia Kempe, Mark Ibrahim OpenFly: A COMPREHENSIVE PLATFORM for AERIAL VISION-LANGUAGE NAVIGATION
Yunpeng Gao, Chenhui Li, Zhongrui You, Junli Liu, Li Zhen, Pengan Chen, Qizhi Chen, Zhonghan Tang, Liansheng Wang, Yangpenghui, Yiwen Tang, Yuhang Tang, Shuai Liang, Songyi Zhu, Ziqin Xiong, Yifei Su, Xinyi Ye, Jianan Li, Yan Ding, Dong Wang, Zhigang Wang, Bin Zhao, Xuelong Li OpenPros: A Large-Scale Dataset for Limited View Prostate Ultrasound Computed Tomography
Hanchen Wang, Yixuan Wu, Yinan Feng, Peng Jin, Luoyuan Zhang, Shihang Feng, James Wiskin, Baris Turkbey, Peter Pinto, Bradford J Wood, Songting Luo, Yinpeng Chen, Emad Boctor, Youzuo Lin OpenThoughts: Data Recipes for Reasoning Models
Etash Kumar Guha, Ryan Marten, Sedrick Keh, Negin Raoof, Georgios Smyrnis, Hritik Bansal, Marianna Nezhurina, Jean Mercat, Trung Vu, Zayne Rea Sprague, Ashima Suvarna, Benjamin Feuer, Leon Liangyu Chen, Zaid Khan, Eric Frankel, Sachin Grover, Caroline Choi, Niklas Muennighoff, Shiye Su, Wanjia Zhao, John Yang, Shreyas Pimpalgaonkar, Kartik Sharma, Charlie Cheng-Jie Ji, Yichuan Deng, Sarah M Pratt, Vivek Ramanujan, Jon Saad-Falcon, Stutee Acharya, Jeffrey Li, Achal Dave, Alon Albalak, Kushal Arora, Blake Wulfe, Chinmay Hegde, Greg Durrett, Sewoong Oh, Mohit Bansal, Saadia Gabriel, Aditya Grover, Kai-Wei Chang, Vaishaal Shankar, Aaron Gokaslan, Mike A Merrill, Tatsunori Hashimoto, Yejin Choi, Jenia Jitsev, Reinhard Heckel, Maheswaran Sathiamoorthy, Alex Dimakis, Ludwig Schmidt OPPO: Accelerating PPO-Based RLHF via Pipeline Overlap
Kaizhuo Yan, YingJie Yu, Yifan Yu, Haizhong Zheng, Fan Lai Opponent Shaping in LLM Agents
Marta Emili García Segura, Stephen Hailes, Mirco Musolesi OPRIDE: Efficient Offline Preference-Based Reinforcement Learning via In-Dataset Exploration
Yiqin Yang, Hao Hu, Yihuan Mao, Jin Zhang, Chengjie Wu, Yuhua Jiang, Xu Yang, Runpeng Xie, Yi Fan, Bo Liu, Yang Gao, Bo Xu, Chongjie Zhang Optimal Sparsity of Mixture-of-Experts Language Models for Reasoning Tasks
Taishi Nakamura, Satoki Ishikawa, Masaki Kawamura, Takumi Okamoto, Daisuke Nohara, Jun Suzuki, Rio Yokota OptimalThinkingBench: Evaluating over and Underthinking in LLMs
Pranjal Aggarwal, Seungone Kim, Jack Lanchantin, Sean Welleck, Jason E Weston, Ilia Kulikov, Swarnadeep Saha Optimas: Optimizing Compound AI Systems with Globally Aligned Local Rewards
Shirley Wu, Parth Sarthi, Shiyu Zhao, Aaron Lee, Herumb Shandilya, Adrian Mladenic Grobelnik, Nurendra Choudhary, Edward W Huang, Karthik Subbian, Linjun Zhang, Diyi Yang, James Zou, Jure Leskovec Optimistic Task Inference for Behavior Foundation Models
Thomas Rupf, Marco Bagatella, Marin Vlastelica, Andreas Krause Optimizer Choice Matters for the Emergence of Neural Collapse
Jim Zhao, Tin Sum Cheng, Wojciech Masarczyk, Aurelien Lucchi Optimizing Agent Planning for Security and Autonomy
Aashish Kolluri, Rishi Sharma, Manuel Costa, Boris Köpf, Tobias Nießen, Mark Russinovich, Shruti Tople, Santiago Zanella-Beguelin Optimizing Data Augmentation Through Bayesian Model Selection
Madi Matymov, Ba-Hien Tran, Michael Kampffmeyer, Markus Heinonen, Maurizio Filippone OptimSyn: Influence-Guided Rubrics Optimization for Synthetic Data Generation
Zhiting Fan, Ruizhe Chen, Tianxiang Hu, Ru Peng, Zenan Huang, Haokai Xu, Yixin Chen, Jian Wu, Junbo Zhao, Zuozhu Liu OptMerge: Unifying Multimodal LLM Capabilities and Modalities via Model Merging
Yongxian Wei, Runxi Cheng, Weike Jin, Enneng Yang, Li Shen, Lu Hou, SiNan Du, Chun Yuan, Xiaochun Cao, Dacheng Tao OR-PRM: A Process Reward Model for Algorithmic Problem in Operations Research
Yilin Wang, Heng Zhou, Dongxing Mao, Linjie Li, Jingru Tan, Haochen Han, Zhengyuan Yang, Alex Jinpeng Wang, Min Li Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games
Dongmin Park, Minkyu Kim, Beongjun Choi, Junhyuck Kim, Keon Lee, Jonghyun Lee, Inkyu Park, Byeong-Uk Lee, Jaeyoung Hwang, Jaewoo Ahn, Ameya Sunil Mahabaleshwarkar, Bilal Kartal, Pritam Biswas, Yoshi Suhara, Kangwook Lee, Jaewoong Cho OrchestrationBench: LLM-Driven Agentic Planning and Tool Use in Multi-Domain Scenarios
Aelim Ahn, Sooyeon Lee, Hyosun Wang, Chiwan Park, Daeryong Kim, Jihyeon Roh, Kichang Yang, Wonjun Jang, Hwang Woosung, Min Seok Kim, Jihoon Kang OrderDP: A Theoretically Guaranteed Lossless Dynamic Data Pruning Framework
Chenhan Jin, Shengze Xu, Qingsong Wang, Fan Jia, Dingshuo Chen, Tieyong Zeng ORION: Decoupling and Alignment for Unified Autoregressive Understanding and Generation
Taihang Hu, Mengting Chen, Jinsong Lan, Xiaoyong Zhu, Kaifu Zhang, Ming-Ming Cheng, Bo Zheng, Yaxing Wang OrthAlign: Orthogonal Subspace Decomposition for Non-Interfering Multi-Objective Alignment
Liang Lin, Zhihao Xu, Junhao Dong, Jian Zhao, Yuchen Yuan, Guibin Zhang, Miao Yu, Yiming Zhang, Zhengtao Yao, Huahui Yi, Haichuan Tang, Dongrui Liu, Xinfeng Li, Kun Wang OrthoRF: Exploring Orthogonality in Object-Centric Representations
Despoina Touska, Bastiaan Onne Fagginger Auer, Alexandru Onose, Tejaswi Kasarla, Luis Armando Pérez Rey, Maximilian Lipp, Lyubov Amitonova, Martin R. Oswald, Pascal Cerfontaine OSCAR: Online Soft Compression for RAG
Maxime Louis, Thibault Formal, Hervé Déjean, Stéphane Clinchant OSWorld-MCP: Benchmarking MCP Tool Invocation in Computer-Use Agents
Hongrui Jia, Jitong Liao, Xi Zhang, Haiyang Xu, Tianbao Xie, Chaoya Jiang, Ming Yan, Si Liu, Wei Ye, Fei Huang Otters: An Energy-Efficient Spiking Transformer via Optical Time-to-First-Spike Encoding
Zhanglu Yan, Jiayi Mao, Qianhui Liu, Fanfan Li, Tao Luo, Gang Pan, Bowen Zhu, Weng-Fai Wong Out of the Memory Barrier: A Highly Memory-Efficient Training System for LLMs with Million-Token Contexts
Wenhao Li, Daohai Yu, Gen Luo, Yuxin Zhang, Yifan Wu, Jiaxin Liu, Ziyang Gong, Zimu Liao, Fei Chao, Rongrong Ji Out-of-Distribution Graph Models Merging
Yidi Wang, Ziyue Qiao, Jiawei Gu, Xubin Zheng, Pengyang Wang, Pei Xiaobing, Xiao Luo Output Supervision Can Obfuscate the Chain of Thought
Jacob Drori, Luke Marks, Bryce Woodworth, Alex Cloud, Alexander Matt Turner Overcoming Joint Intractability with Lossless Hierarchical Speculative Decoding
Yuxuan Zhou, Fei Huang, Heng Li, Fengyi Wu, Tianyu Wang, Jianwei Zhang, Junyang Lin, Zhi-Qi Cheng OVID: Open-Vocabulary Intrusion Detection
Fujun Han, Jingqi Ye, Chenglong Zhang, Peng Ye OXtal: An All-Atom Diffusion Model for Organic Crystal Structure Prediction
Emily Jin, Andrei Cristian Nica, Mikhail Galkin, Jarrid Rector-Brooks, Kin Long Kelvin Lee, Santiago Miret, Frances H. Arnold, Michael M. Bronstein, Joey Bose, Alexander Tong, Cheng-Hao Liu P-GenRM: Personalized Generative Reward Model with Test-Time User-Based Scaling
Pinyi Zhang, Ting-En Lin, Yuchuan Wu, Jingyang Chen, Zongqi Wang, Hua Yang, Xu Ze, Fei Huang, Yongbin Li, Kai Zhang P2P: Automated Paper-to-Poster Generation and Fine-Grained Benchmark
Tao Sun, Enhao Pan, Zhengkai Yang, Kaixin Sui, Jiajun Shi, Xianfu Cheng, Tongliang Li, Ge Zhang, Wenhao Huang, Jian Yang, Zhoujun Li PAGE-4D: VGGT-4D Perception via Disentangled Pose and Geometry Estimation
Kaichen Zhou, Yuhan Wang, Grace Chen, Gaspard Beaudouin, Fangneng Zhan, Paul Pu Liang, Mengyu Wang Panoptic Pairwise Distortion Graph
Muhammad Kamran Janjua, Abdul Wahab, Bahador Rashidi Paradigm Shift of GNN Explainer from Label Space to Prototypical Representation Space
Jun Yin, Senzhang Wang, Ziluowen Luo, Peng Huo, Hao Yan, Hao Miao, Chaozhuo Li, Shirui Pan, Chengqi Zhang Parallel Sampling from Masked Diffusion Models via Conditional Independence Testing
Iskander Azangulov, Teodora Pandeva, Niranjani Prasad, Javier Zazo, Sushrut Karmalkar Parallel Token Prediction for Language Models
Felix Draxler, Justus Will, Farrin Marouf Sofian, Theofanis Karaletsos, Sameer Singh, Stephan Mandt Parallel-R1: Towards Parallel Thinking via Reinforcement Learning
Tong Zheng, Hongming Zhang, Wenhao Yu, Xiaoyang Wang, He Xing, Runpeng Dai, Rui Liu, Huiwen Bao, Chengsong Huang, Heng Huang, Dong Yu ParallelBench: Understanding the Trade-Offs of Parallel Decoding in Diffusion LLMs
Wonjun Kang, Kevin Galim, Seunghyuk Oh, Minjae Lee, Yuchen Zeng, Shuibai Zhang, Coleman Richard Charles Hooper, Yuezhou Hu, Hyung Il Koo, Nam Ik Cho, Kangwook Lee Parameter-Efficient Reinforcement Learning Using Prefix Optimization
Itamar Rocha Filho, Rosie Zhao, Sham M. Kakade, Eran Malach, Samy Jelassi Parameters vs. Context: Fine-Grained Control of Knowledge Reliance in Language Models
Baolong Bi, Shenghua Liu, Yiwei Wang, Yilong Xu, Junfeng Fang, Lingrui Mei, Xueqi Cheng Pareto Variational Autoencoder
Mincheol Cho, Yedarm Seong, Joong-Ho Won Pareto-Conditioned Diffusion Models for Offline Multi-Objective Optimization
Jatan Shrestha, Santeri Heiskanen, Kari Hepola, Severi Rissanen, Pekka Jääskeläinen, Joni Pajarinen Part-X-MLLM: Part-Aware 3D Multimodal Large Language Model
Chunshi Wang, Junliang Ye, Yunhan Yang, Yang Li, Zizhuo Lin, Jun Zhu, Zhuo Chen, Yawei Luo, Chunchao Guo Partially Equivariant Reinforcement Learning in Symmetry-Breaking Environments
Junwoo Chang, Minwoo Park, Joohwan Seo, Roberto Horowitz, Jongmin Lee, Jongeun Choi PartSAM: A Scalable Promptable Part Segmentation Model Trained on Native 3D Data
Zhe Zhu, Le Wan, Rui Xu, Yiheng Zhang, Honghua Chen, Zhiyang Dou, Cheng Lin, Yuan Liu, Mingqiang Wei PAT3D: Physics-Augmented Text-to-3D Scene Generation
Guying Lin, Kemeng Huang, Michael Liu, Ruihan Gao, Hanke Chen, Lyuhao Chen, Beijia Lu, Taku Komura, Yuan Liu, Jun-Yan Zhu, Minchen Li Patch-as-Decodable-Token: Towards Unified Multi-Modal Vision Tasks in MLLMs
Yongyi Su, Haojie Zhang, Shijie Li, Nanqing Liu, Jingyi Liao, Junyi Pan, Yuan Liu, Xiaofen Xing, Chong Sun, Chen Li, Nancy F. Chen, Shuicheng Yan, Xulei Yang, Xun Xu PatchDNA: A Flexible and Biologically-Informed Alternative to Tokenization for DNA
Alice Del Vecchio, Chantriolnt-Andreas Kapourani, Abdullah M Athar, Agnieszka Dobrowolska, Andrew Anighoro, Benjamin Tenmann, Lindsay Edwards, Cristian Regep PathChat-SegR1: Reasoning Segmentation in Pathology via SO-GRPO
Zelin Liu, Dongdong Chen, Yusong Sun, Yuqi Hu, Huang Jie, Sicheng Dong, Xu Han, Hongmei Yi, Qiyuan Bao, Lichi Zhang PCB-Bench: Benchmarking LLMs for Printed Circuit Board Placement and Routing
Jindong Li, Lianrong Chen, Bin Yang, Jiadong Zhu, Ying Wang, Yuzhe Ma, Menglin Yang PD$^{2}$GS: Part-Level Decoupling and Continuous Deformation of Articulated Objects via Gaussian Splatting
Haowen Wang, Xiaoping Yuan, Zhao Jin, Zhen Zhao, Zhengping Che, Yousong Xue, Jing Tian, Yakun Huang, Jian Tang PE-SGD: Differentially Private Deep Learning via Evolution of Gradient Subspace for Text
Tianyuan Zou, Zinan Lin, Sivakanth Gopi, Yang Liu, Ya-Qin Zhang, Robert Sim, Xin Deng, Sergey Yekhanin Peak-Return Greedy Slicing: Subtrajectory Selection for Transformer-Based Offline RL
Zhiwei Xu, Miduo Cui, Dapeng Li, Zhihao Liu, Haifeng Zhang, Hangyu Mao, Guoliang Fan, Bin Zhang Pedagogically-Inspired Data Synthesis for Language Model Knowledge Distillation
Bowei He, Yankai Chen, Xiaokun Zhang, Linghe Kong, Philip S. Yu, Xue Liu, Chen Ma PepBenchmark: A Standardized Benchmark for Peptide Machine Learning
Jiahui Zhang, Rouyi Wang, Kuangqi Zhou, Tianshu Xiao, Lingyan Zhu, Yaosen Min, Yang Wang Perception-Aware Policy Optimization for Multimodal Reasoning
Zhenhailong Wang, Xuehang Guo, Sofia Stoica, Haiyang Xu, Hongru Wang, Hyeonjeong Ha, Xiusi Chen, Yangyi Chen, Ming Yan, Fei Huang, Heng Ji PerfGuard: A Performance-Aware Agent for Visual Content Generation
Zhipeng Chen, Zhongrui Zhang, Chao Zhang, Yifan Xu, Lan Yang, Jun Liu, Ke Li, Yi-Zhe Song PerFit: Exploring Personalization Shifts in Representation Space of LLMs
Jiahong Liu, Wenhao Yu, Quanyu Dai, Zhongyang Li, Jieming Zhu, Menglin Yang, Tat-Seng Chua, Irwin King Persona Features Control Emergent Misalignment
Miles Wang, Tom Dupre la Tour, Olivia Watkins, Aleksandar Makelov, Ryan Andrew Chi, Samuel Miserendino, Jeffrey George Wang, Achyuta Rajaram, Johannes Heidecke, Tejal Patwardhan, Daniel P Mossing PERSONA: Dynamic and Compositional Inference-Time Personality Control via Activation Vector Algebra
Xiachong Feng, Liang Zhao, Weihong Zhong, Yichong Huang, Yuxuan Gu, Lingpeng Kong, Xiaocheng Feng, Bing Qin Personalized Feature Translation for Expression Recognition: An Efficient Source-Free Domain Adaptation Method
Masoumeh Sharafi, Soufiane Belharbi, Muhammad Osama Zeeshan, HOUSSEM Ben Salem, Ali Etemad, Alessandro Lameiras Koerich, Marco Pedersoli, Simon L Bacon, Eric Granger PersonaX: Multimodal Datasets with LLM-Inferred Behavior Traits
Loka Li, Wong Yu Kang, Minghao Fu, Guangyi Chen, Zhenhao Chen, Gongxu Luo, Yuewen Sun, Salman Khan, Peter Spirtes, Kun Zhang PETRI: Learning Unified Cell Embeddings from Unpaired Modalities via Early-Fusion Joint Reconstruction
Ryan W Conrad, Ethan Weinberger, Saradha Venkatachalapathy, Yuwen Chen, Darshini Shah, Bay Johnson, Max R Salick, Vaishaali Natarajan, Emily Fox Phantom-Data: Towards a General Subject-Consistent Video Generation Dataset
Zhuowei Chen, Bingchuan Li, Tianxiang Ma, Lijie Liu, Mingcong Liu, Yunsheng Jiang, Gen Li, Xinghui Li, Liyang Chen, SiYu Zhou, Qian He, Xinglong Wu PHAT: Modeling Period Heterogeneity for Multivariate Time Series Forecasting
Jiaming Ma, Qihe Huang, Haofeng Ma, Guanjun Wang, Sheng Huang, Zhengyang Zhou, Pengkun Wang, Xu Wang, Binwu Wang, Yang Wang PhyScensis: Physics-Augmented LLM Agents for Complex Physical Scene Arrangement
Yian Wang, Han Yang, Minghao Guo, Xiaowen Qiu, Tsun-Hsuan Wang, Wojciech Matusik, Joshua B. Tenenbaum, Chuang Gan Physically Valid Biomolecular Interaction Modeling with Gauss-Seidel Projection
Siyuan Chen, Minghao Guo, Caoliwen Wang, Anka He Chen, Yikun Zhang, Jingjing Chai, Yin Yang, Wojciech Matusik, Peter Yichen Chen Physically-Guided Optical Inversion Enable Non-Contact Side-Channel Attack on Isolated Screens
Zhiwen Zheng, Yuheng Qiao, Xiaoshuai Zhang, Zhao Huang, Tao Zhang, Huiyu Zhou, Shaowei Jiang, Jin Liu, Wenwen Tang, Xingru Huang Physics-Informed Learning Under Mixing: How Physical Knowledge Speeds up Learning
Anna Scampicchio, Leonardo Felipe Toso, Rahel Rickenbach, James Anderson, Melanie Zeilinger PhysLLM: Harnessing Large Language Models for Cross-Modal Remote Physiological Sensing
Yiping Xie, Bo Zhao, Mingtong Dai, Jian-Ping Zhou, Yue Sun, Tao Tan, Weicheng Xie, Linlin Shen, Zitong Yu Pi-CCA: Prompt-Invariant CCA Certificates for Replay-Free Continual Multimodal Learning
Jiayu Zhang, Chuangxin Zhao, Canran Xiao, Ruibo Duan, Wenyi Mo, Haoyu Gao, Wenshuo Wang Pi-Flow: Policy-Based Few-Step Generation via Imitation Distillation
Hansheng Chen, Kai Zhang, Hao Tan, Leonidas Guibas, Gordon Wetzstein, Sai Bi PI-Light: Physics-Inspired Diffusion for Full-Image Relighting
Zhexin Liang, Zhaoxi Chen, Yongwei Chen, Tianyi Wei, Tengfei Wang, Xingang Pan PICABench: How Far Are We from Physical Realistic Image Editing?
Yuandong Pu, Le Zhuo, Songhao Han, Jinbo Xing, Kaiwen Zhu, Shuo Cao, Bin Fu, Si Liu, Hongsheng Li, Yu Qiao, Wenlong Zhang, Xi Chen, Yihao Liu Pinet: Optimizing Hard-Constrained Neural Networks with Orthogonal Projection Layers
Panagiotis D. Grontas, Antonio Terpin, Efe C. Balta, Raffaello D'Andrea, John Lygeros Pisces: Cryptography-Based Private Retrieval-Augmented Generation with Dual-Path Retrieval
Xiaojian Liang, Lushan Song, Shishuai Du, Weicheng Zhu, Tan Li Hui Faith, Jun Jie Sim, Haibing Jin, Zhenghao Wu, Yingting Liu, Xin Zhang, Jiang-Ming Yang, Pu Duan Pitfalls in Evaluating Language Model Forecasters
Daniel Paleka, Shashwat Goel, Jonas Geiping, Florian Tramèr Pixel to Gaussian: Ultra-Fast Continuous Super-Resolution with 2D Gaussian Modeling
Long Peng, Anran Wu, Wenbo Li, PeizheXia, Xinjie Zhang, Xueyuan Dai, Xin Di, Haoze Sun, Renjing Pei, Yang Wang, Yang Cao, Zheng-Jun Zha Pixel3DMM: Versatile Screen-Space Priors for Single-Image 3D Face Reconstruction
Simon Giebenhain, Tobias Kirschstein, Martin Rünz, Lourdes Agapito, Matthias Nießner PixelCraft: A Multi-Agent System for High-Fidelity Visual Reasoning on Structured Images
Shuoshuo Zhang, Zijian Li, Yizhen Zhang, Jingjing Fu, Lei Song, Jiang Bian, Jun Zhang, Yujiu Yang, Rui Wang PixelVLA: Advancing Pixel-Level Understanding in Vision-Language-Action Model
Wenqi Liang, Gan Sun, Yao He, Jiahua Dong, Suyan Dai, Ivan Laptev, Salman Khan, Yang Cong PixNerd: Pixel Neural Field Diffusion
Shuai Wang, Ziteng Gao, Chenhui Zhu, Weilin Huang, Limin Wang Plan Then Act: Bi-Level CAD Command Sequence Generation
Qiangya Guo, Gang Dai, Zhuoman Liu, Shuangping Huang, Yunqing Hu, Huiyuan Zhang, Tianshui Chen PLANETALIGN: A Comprehensive Python Library for Benchmarking Network Alignment
Qi Yu, Zhichen Zeng, Yuchen Yan, Zhining Liu, Baoyu Jing, Ruizhong Qiu, Ariful Azad, Hanghang Tong Planned Diffusion
Daniel Mingyi Israel, Tian Jin, Ellie Y Cheng, Guy Van den Broeck, Aditya Grover, Suvinay Subramanian, Michael Carbin Planner Aware Path Learning in Diffusion Language Models Training
Fred Zhangzhi Peng, Zachary Bezemek, Jarrid Rector-Brooks, Shuibai Zhang, Michael M. Bronstein, Anru Zhang, Joey Bose, Alexander Tong Planning with an Embodied Learnable Memory
Priyam Parashar, Jacob Krantz, Matthew Chang, Kavit Shah, Xavier Puig, Roozbeh Mottaghi PlantRSR: A New Plant Dataset and Method for Reference-Based Super-Resolution
Hongyang Zhou, Xiaobin Zhu, Shengxiang Yu, Liuling Chen, Jingyan Qin, Xu-Cheng Yin Play to Generalize: Learning to Reason Through Game Play
Yunfei Xie, Yinsong Ma, Shiyi Lan, Alan Yuille, Junfei Xiao, Chen Wei PluriHarms: Benchmarking the Full Spectrum of Human Judgments on AI Harm
Jing-Jing Li, Joel Mire, Eve Fleisig, Valentina Pyatkin, Anne Collins, Maarten Sap, Sydney Levine PM-KVQ: Progressive Mixed-Precision KV Cache Quantization for Long-CoT LLMs
Tengxuan Liu, Shiyao Li, Jiayi Yang, Tianchen Zhao, Feng Zhou, Xiaohui Song, Guohao Dai, Shengen Yan, Huazhong Yang, Yu Wang PMark: Towards Robust and Distortion-Free Semantic-Level Watermarking with Channel Constraints
Jiahao Huo, Shuliang Liu, Bin Wang, Junyan Zhang, Yibo Yan, Aiwei Liu, Xuming Hu, Mingxun Zhou PMDformer: Patch-Mean Decoupling Information Transformer for Long-Term Forecasting
Ao Hu, Liangjian Wen, Jiang Duan, Yong Dai, Yan He, Dongkai Wang, Jun Wang, Yukun Zhang, Ruoxi Jiang, Zenglin Xu PoinnCARE: Hyperbolic Multi-Modal Learning for Enzyme Classification
Kun Xie, Peng Zhou, Xingyi Zhang, Wei Liu, Peilin Zhao, Sibo Wang, Biaobin Jiang Point2RBox-V3: Self-Bootstrapping from Point Annotations via Integrated Pseudo-Label Refinement and Utilization
Teng Zhang, Ziqian Fan, Mingxin Liu, Xin Zhang, Xudong Lu, Wentong Li, Yue Zhou, Yi Yu, Xiang Li, Junchi Yan, Xue Yang PoliCon: Evaluating LLMs on Achieving Diverse Political Consensus Objectives
Zhaowei Zhang, Xiaobo Wang, Minghua Yi, Mengmeng Wang, Fengshuo Bai, Zilong Zheng, Yipeng Kang, Yaodong Yang Policy Contrastive Decoding for Robotic Foundation Models
Shihan Wu, Xu Luo, Ji Zhang, Junlin Xie, Jingkuan Song, Heng Tao Shen, Lianli Gao Policy Newton Algorithm in Reproducing Kernel Hilbert Space
Yixian Zhang, Huaze Tang, Changxu Wei, Chao Wang, Wenbo Ding Polychromic Objectives for Reinforcement Learning
Jubayer Ibn Hamid, Ifdita Hasan Orney, Ellen Xu, Chelsea Finn, Dorsa Sadigh Polynomial Convergence of Riemannian Diffusion Models
Xingyu Xu, Ziyi Zhang, Yorie Nakahira, Guannan Qu, Yuejie Chi PonderLM: Pretraining Language Models to Ponder in Continuous Space
Boyi Zeng, Shixiang Song, Siyuan Huang, Yixuan Wang, He Li, Ziwei He, Xinbing Wang, Zhiyu Li, Zhouhan Lin PoseX: AI Defeats Physics-Based Methods on Protein Ligand Cross-Docking
Yize Jiang, Xinze Li, Yuanyuan Zhang, Jin Han, Youjun Xu, Ayush Pandit, Zaixi Zhang, Mengdi Wang, Mengyang Wang, Chong Liu, Guang Yang, Yejin Choi, Yingzhou Lu, Wu-Jun Li, Tianfan Fu, Fang Wu, Junhong Liu PoSh: Using Scene Graphs to Guide LLMs-as-a-Judge for Detailed Image Descriptions
Amith Ananthram, Elias Stengel-Eskin, Lorena A. Bradford, Julia Demarest, Adam Purvis, Keith Krut, Robert Stein, Rina Elster Pantalony, Mohit Bansal, Kathleen McKeown Positional Encoding Field
Yunpeng Bai, Haoxiang Li, Qixing Huang Post-Hoc Probabilistic Vision-Language Models
Anton Baumann, Rui Li, Marcus Klasson, Santeri Mentu, Shyamgopal Karthik, Zeynep Akata, Arno Solin, Martin Trapp Post-Training Large Language Models for Diverse High-Quality Responses
Yilei Chen, Souradip Chakraborty, Lorenz Wolf, Ioannis Paschalidis, Aldo Pacchiano Post-Training Quantization for Video Matting
Tianrui Zhu, Houyuan Chen, Ruihao Gong, Michele Magno, Haotong Qin, Kai Zhang PosterCraft: Rethinking High-Quality Aesthetic Poster Generation in a Unified Framework
Sixiang Chen, Jianyu Lai, Jialin Gao, Tian Ye, Haoyu Chen, Hengyu Shi, Shitong Shao, Yunlong Lin, Song Fei, Zhaohu Xing, Yeying Jin, Junfeng Luo, Xiaoming Wei, Lei Zhu Potentially Optimal Joint Actions Recognition for Cooperative Multi-Agent Reinforcement Learning
Chang Huang, Shatong Zhu, Junqiao Zhao, Hongtu Zhou, Hai Zhang, Di Zhang, Chen Ye, Ziqiao Wang, Guang Chen PPLLaVA: Varied Video Sequence Understanding with Prompt Guidance
Shangkun Sun, Ruyang Liu, Haoran Tang, Yixiao Ge, Haibo Lu, Jiankun Yang, Chen Li Pragma-VL: Towards a Pragmatic Arbitration of Safety and Helpfulness in MLLMs
Ming Wen, Kun Yang, Xin Chen, Jingyu Zhang, Dingding Han, Shiwen Cui, Yuedong Xu Pre-Training Limited Memory Language Models with Internal and External Knowledge
Linxi Zhao, Sofian Zalouk, Christian Belardi, Justin Lovelace, Jin Peng Zhou, Ryan Thomas Noonan, Dongyoung Go, Kilian Q Weinberger, Yoav Artzi, Jennifer J. Sun Pre-Training Under Infinite Compute
Konwoo Kim, Suhas Kotha, Percy Liang, Tatsunori Hashimoto Precise and Interpretable Editing of Code Knowledge in Large Language Models
Min Xue, Nikolai Bolik, Lennart Stöpler, Erik Imgrund, Janik Schmid, Artur Andrzejak PreciseCache: Precise Feature Caching for Efficient and High-Fidelity Video Generation
Jiangshan Wang, Kang Zhao, Jiayi Guo, Jiayu Wang, Hang Guo, Chenyang Zhu, Xiu Li, Xiangyu Yue Predicting LLM Reasoning Performance with Small Proxy Model
Woosung Koh, Juyoung Suk, Sungjun Han, Se-Young Yun, Jay Shin Predictive Differential Training Guided by Training Dynamics
Fanqi Wang, Weisheng Tang, Landon Harris, Hairong Qi, Dan Wilson, Igor Mezic PrefDisco: Benchmarking Proactive Personalized Reasoning
Shuyue Stella Li, Avinandan Bose, Faeze Brahman, Simon Shaolei Du, Pang Wei Koh, Maryam Fazel, Yulia Tsvetkov Preference Leakage: A Contamination Problem in LLM-as-a-Judge
Dawei Li, Renliang Sun, Yue Huang, Ming Zhong, Bohan Jiang, Jiawei Han, Xiangliang Zhang, Wei Wang, Huan Liu PreferThinker: Reasoning-Based Personalized Image Preference Assessment
Shengqi Xu, Xinpeng Zhou, Yabo Zhang, Ming Liu, Tao Liang, Tianyu Zhang, Yalong Bai, Zuxuan Wu, Wangmeng Zuo PrefixMemory-Tuning: Modernizing Prefix-Tuning by Decoupling the Prefix from Attention
Haonan Wang, Brian K Chen, Siquan Li, Liang Xinhe, Hwee Kuan Lee, Kenji Kawaguchi, Tianyang Hu Premise Selection for a Lean Hammer
Thomas Zhu, Joshua Clune, Jeremy Avigad, Albert Q. Jiang, Sean Welleck Presenting a Paper Is an Art: Self-Improvement Aesthetic Agents for Academic Presentations
Chengzhi Liu, Yuzhe Yang, Kaiwen Zhou, Zhen Zhang, Yue Fan, Yanan Xie, Peng Qi, Xin Eric Wang Preserving Forgery Artifacts: AI-Generated Video Detection at Native Scale
Zhengcen Li, Chenyang Jiang, Hang Zhao, Shiyang Zhou, Yunyang Mo, Feng Gao, Fan Yang, Qiben Shan, Shaocong Wu, Jingyong Su Pretrain Value, Not Reward: Decoupled Value Policy Optimization
Chenghua Huang, Lu Wang, Fangkai Yang, Pu Zhao, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan Pretraining with Re-Parametrized Self-Attention: Unlocking Generalizationin SNN-Based Neural Decoding Across Time, Brains, and Tasks
Yuqi Yang, Tengjun Liu, Haiyan Zhang, Wang Ruixue, Xuchao Chen, Mingkang Li, Yansong Chua, Nenggan Zheng, Shaomin Zhang Prima.cpp: Fast 30-70b LLM Inference on Heterogeneous and Low-Resource Home Clusters
Zonghang Li, Tao Li, Wenjiao Feng, Rongxing Xiao, Jianshu She, Hong Huang, Mohsen Guizani, Hongfang Yu, Qirong Ho, Wei Xiang, Xue Liu Principled RL for Diffusion LLMs Emerges from a Sequence-Level Perspective
Jingyang Ou, Jiaqi Han, Minkai Xu, Shaoxuan Xu, Jianwen Xie, Stefano Ermon, Yi Wu, Chongxuan Li PriorGuide: Test-Time Prior Adaptation for Simulation-Based Inference
Yang Yang, Severi Rissanen, Paul Edmund Chang, Nasrulloh Ratu Bagus Satrio Loka, Daolang Huang, Arno Solin, Markus Heinonen, Luigi Acerbi Priors in Time: Missing Inductive Biases for Language Model Interpretability
Ekdeep Singh Lubana, Can Rager, Sai Sumedh R. Hindupur, Valérie Costa, Oam Patel, Sonia Krishna Murthy, Thomas Fel, Greta Tuckute, Daniel Wurgaft, Eric Bigelow, Demba E. Ba, Melanie Weber, Aaron Mueller PRISM-Physics: Causal DAG-Based Process Evaluation for Physics Reasoning
Wanjia Zhao, Qinwei Ma, Jingzhe Shi, Shirley Wu, Jiaqi Han, Yijia Xiao, Si-Yuan Chen, Xiao Luo, Ludwig Schmidt, James Zou PRISM: Partial-Label Relational Inference with Spatial and Spectral Cues
Yiyang Gu, Wenrui Wu, Yifang Qin, Taian Guo, Tao Zhe, Jiaru Tang, Zhiping Xiao, Weizhi Zhang, Ziyue Qiao, Wei Ju, Dongjie Wang, Xiao Luo, Philip S. Yu, Ming Zhang PrismAudio: Decomposed Chain-of-Thought and Multi-Dimensional Rewards for Video-to-Audio Generation
Huadai Liu, Kaicheng Luo, Wen Wang, Qian Chen, Peiwen Sun, Rongjie Huang, Xiangang Li, Jieping Ye, Wei Xue PRISMM-Bench: A Benchmark of Peer-Review Grounded Multimodal Inconsistencies
Lukas Selch, Yufang Hou, Muhammad Jehanzeb Mirza, Sivan Doveh, James R. Glass, Rogerio Feris, Wei Lin PRISON: Unmasking the Criminal Potential of Large Language Models
Xinyi Wu, Geng Hong, Pei Chen, Yueyue Chen, Xudong Pan, Min Yang Privacy-Protected Causal Survival Analysis Under Distribution Shift
Yi Liu, Alexander W. Levis, Ke Zhu, Shu Yang, Peter B. Gilbert, Larry Han Private Rate-Constrained Optimization with Applications to Fair Learning
Mohammad Yaghini, Tudor Cebere, Michael Menart, Aurélien Bellet, Nicolas Papernot Probability Distributions Computed by Autoregressive Transformers
Andy Yang, Anej Svete, Jiaoda Li, Anthony Widjaja Lin, Jonathan Rawski, Ryan Cotterell, David Chiang Probing in the Dark: State Entropy Maximization for POMDPs
Yonatan Ashlag, Mirco Mutti, Aviv Tamar, Kfir Yehuda Levy Probing Rotary Position Embeddings Through Frequency Entropy
Yui Oka, Kentaro Hanafusa, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito Product of Experts for Visual Generation
Yunzhi Zhang, Carson Murtuza-Lanier, Zizhang Li, Yilun Du, Jiajun Wu ProfBench: Multi-Domain Rubrics Requiring Professional Knowledge to Answer and Judge
Zhilin Wang, Jaehun Jung, Ximing Lu, Shizhe Diao, Ellie Evans, Jiaqi Zeng, Pavlo Molchanov, Yejin Choi, Jan Kautz, Yi Dong Programming by Backprop: An Instruction Is Worth 100 Examples When Finetuning LLMs
Jonathan Cook, Silvia Sapora, Arash Ahmadian, Akbir Khan, Tim Rocktäschel, Jakob Nicolaus Foerster, Laura Ruis Progressive Online Video Understanding with Evidence-Aligned Timing and Transparent Decisions
Kecheng Zhang, Zongxin Yang, Mingfei Han, Haihong Hao, Yunzhi Zhuge, Changlin Li, Junhan Zhao, Zhihui Li, Xiaojun Chang Prompt and Parameter Co-Optimization for Large Language Models
Xiaohe Bo, Rui Li, Zexu Sun, Quanyu Dai, Zeyu Zhang, Zihang Tian, Xu Chen, Zhenhua Dong Prompt Curriculum Learning for Efficient LLM Post-Training
Zhaolin Gao, Joongwon Kim, Wen Sun, Thorsten Joachims, Sid Wang, Richard Yuanzhe Pang, Liang Tan Prompt-MII: Meta-Learning Instruction Induction for LLMs
Emily Xiao, Yixiao Zeng, Ada Chen, Chin-Jou Li, Amanda Bertsch, Graham Neubig Prompt-Robust Vision-Language Models via Meta-Finetuning
Haohui Liang, Runlin Huang, Yingjun Du, Yujia Hu, Weifeng Su, Cees G. M. Snoek ProofBridge: Auto-Formalization of Natural Language Proofs in Lean via Joint Embeddings
Prithwish Jana, Kaan Kale, Ahmet Ege Tanriverdi, Cruise Song, Sriram Vishwanath, Vijay Ganesh ProofFlow: A Dependency Graph Approach to Faithful Proof Autoformalization
Rafael Medeiros Cabral, Tuan Manh Do, Yu Xuejun, Wai Ming Tai, Zijin Feng, Shen Xin PropensityBench: Evaluating Latent Safety Risks in Large Language Models via an Agentic Approach
Udari Madhushani Sehwag, Shayan Shabihi, Alex McAvoy, Vikash Sehwag, Yuancheng Xu, Dalton Towers, Furong Huang Proper Velocity Neural Networks
Ziheng Chen, Zihan Su, Bernhard Schölkopf, Nicu Sebe ProRe: A Proactive Reward System for GUI Agents via Reasoner–Actor Collaboration
Gaole Dai, Shiqi Jiang, Ting Cao, Yuqing Yang, Yuanchun Li, Rui Tan, Mo Li, Lili Qiu ProReGen: Progressive Residual Generation Under Attribute Correlations
Ruby Shrestha, Ajay Gopi, Casey Meisenzahl, Bipin Lekhak, Linwei Wang ProstaTD: Bridging Surgical Triplet from Classification to Fully Supervised Detection
Yiliang Chen, Zhixi Li, Cheng Xu, Alex Qinyang Liu, Ruize Cui, Xuemiao Xu, Jeremy Yuen-Chun Teoh, Shengfeng He, Jing Qin Protein Structure Tokenization via Geometric Byte Pair Encoding
Michael Sun, Weize Yuan, Gang Liu, Wojciech Matusik, Marinka Zitnik ProteinAE: Protein Diffusion Autoencoders for Structure Encoding
Shaoning Li, Le Zhuo, Yusong Wang, Mingyu Li, Xinheng He, Fandi Wu, Hongsheng Li, Pheng-Ann Heng ProtoKV: Long-Context Knowledges Are Already Well-Organized Before Your Query
Zhiyuan Yu, Shijian Xiao, Zhangyue Yin, Xiaoran Liu, Lekai Xing, Wenzhong Li, Nguyen Cam-Tu, Sanglu Lu Provable and Practical In-Context Policy Optimization for Self-Improvement
Tianrun Yu, Yuxiao Yang, Zhaoyang Wang, Kaixiang Zhao, Porter Jenkins, Xuchao Zhang, Chetan Bansal, Huaxiu Yao, Weitong Zhang Provably Explaining Neural Additive Models
Shahaf Bassan, Yizhak Yisrael Elboher, Tobias Ladner, Volkan Şahin, Jan Kretinsky, Matthias Althoff, Guy Katz Proximal Diffusion Neural Sampler
Wei Guo, Jaemoo Choi, Yuchen Zhu, Molei Tao, Yongxin Chen Proximal Supervised Fine-Tuning
Wenhong Zhu, Ruobing Xie, Rui Wang, Xingwu Sun, Di Wang, Pengfei Liu ProxyAttn: Guided Sparse Attention via Representative Heads
Yixuan Wang, Huang He, Siqi Bao, Hua Wu, Haifeng Wang, Qingfu Zhu, Wanxiang Che ProxyThinker: Test-Time Guidance Through Small Visual Reasoners
Zilin Xiao, Jaywon Koo, Siru Ouyang, Jefferson Hernandez, Yu Meng, Vicente Ordonez PSDNorm: Temporal Normalization for Deep Learning in Sleep Staging
Theo Gnassounou, Antoine Collas, Rémi Flamary, Alexandre Gramfort PSP: Prompt-Guided Self-Training Sampling Policy for Active Prompt Learning
Sen Tao, Kaiduo Feng, Jiawei Liu, Peng Zeng, Yongchao Xu, Yufei Zheng, Zheng-Jun Zha PT$^2$-LLM: Post-Training Ternarization for Large Language Models
Xianglong Yan, ChengZhu Bao, Zhiteng Li, Tianao Zhang, Kaicheng Yang, Haotong Qin, Ruobing Xie, Xingwu Sun, Yulun Zhang Ptnet: A Proposal-Centric Transformer Net- Work for 3D Object Detection
Jianping Zhong, Zhaobo Qi, Kaiwen Duan, Xinyan Liu, Beichen Zhang, Weigang Zhang, Qingming Huang Pu-Bench: A Unified Benchmark for Rigorous and Reproducible Pu Learning
Qiuyi Chen, Haiyang Zhang, Leqi Zhang, Changchun Li, Jia Wang, Wei Wang Pulp Motion: Framing-Aware Multimodal Camera and Human Motion Generation
Robin Courant, Xi Wang, David Loiseaux, Marc Christie, Vicky Kalogeiton Purrception: Variational Flow Matching for Vector-Quantized Image Generation
Răzvan-Andrei Matișan, Vincent Tao Hu, Grigory Bartosh, Björn Ommer, Cees G. M. Snoek, Max Welling, Jan-Willem van de Meent, Mohammad Mahdi Derakhshani, Floor Eijkelboom Pursuing Minimal Sufficiency in Spatial Reasoning
Yejie Guo, Yunzhong Hou, Wufei Ma, Meng Tang, Ming-Hsuan Yang Pusa V1.0: Unlocking Temporal Control in Pretrained Video Diffusion Models via Vectorized Timestep Adaptation
Yaofang Liu, Yumeng Ren, Aitor Artola, Yuxuan Hu, Xiaodong Cun, Xiaotong Zhao, Alan Zhao, Raymond H. Chan, Suiyun Zhang, Rui Liu, Dandan Tu, Jean-michel Morel Pushing on Multilingual Reasoning Models with Language-Mixed Chain-of-Thought
Guijin Son, Donghun Yang, Hitesh Laxmichand Patel, Amit Agarwal, Hyunwoo Ko, Chanuk Lim, Srikant Panda, Minhyuk Kim, Nikunj Drolia, Dasol Choi, Kyong-Ha Lee, Youngjae Yu PuzzleWorld: A Benchmark for Multimodal, Open-Ended Reasoning in Puzzlehunts
Hengzhi Li, Justin Zhang, Brendon Jiang, Alexander Naehu, Regan Song, Megan Tjandrasuwita, Chanakya Ekbote, Steven-Shine Chen, Adithya Balachandran, Wei Dai, Rebecca Chang, Paul Pu Liang Pyramid Patchification Flow for Visual Generation
Hui Li, Baoyou Chen, Li Jiaye, Jingdong Wang, Siyu Zhu pySpatial: Generating 3D Visual Programs for Zero-Shot Spatial Reasoning
Zhanpeng Luo, Ce Zhang, Silong Yong, Cunxi Dai, Qianwei Wang, Haoxi Ran, Guanya Shi, Katia P. Sycara, Yaqi Xie Q-Learning with Posterior Sampling
Priyank Agrawal, Shipra Agrawal, Azmat Azati Q-RAG: Long Context Multi‑Step Retrieval via Value‑Based Embedder Training
Artyom Sorokin, Nazar Buzun, Aleksandr Anokhin, Egor KONSTANTINOVICH Vedernikov, Petr Anokhin, Mikhail Burtsev, Evgeny Burnaev QeRL: Beyond Efficiency - Quantization-Enhanced Reinforcement Learning for LLMs
Wei Huang, Yi Ge, Shuai Yang, Yicheng Xiao, Huizi Mao, Yujun Lin, Hanrong Ye, Sifei Liu, Ka Chun Cheung, Hongxu Yin, Yao Lu, Xiaojuan Qi, Song Han, Yukang Chen QKV Projections Require a Fraction of Their Memory
Malik Khalaf, Yara Shamshoum, Nitzan Hodos, Yuval Sieradzki, Assaf Schuster QuadGPT: Native Quadrilateral Mesh Generation with Autoregressive Models
Jian Liu, Chunshi Wang, Song Guo, Haohan Weng, Zhen Zhou, Zhiqi Li, Jiaao Yu, Yiling Zhu, Jing Xu, Biwen Lei, Zhuo Chen, Chunchao Guo Quadratic Direct Forecast for Training Multi-Step Time-Series Forecast Models
Eric Wang, Licheng Pan, Yuan Lu, Zi Ciu Chan, Tianqiao Liu, Shuting He, Zhixuan Chu, Qingsong Wen, Haoxuan Li, Zhouchen Lin Quagmires in SFT-RL Post-Training: When High SFT Scores Mislead and What to Use Instead
Feiyang Kang, Michael Kuchnik, Karthik Padthe, Marin Vlastelica, Ruoxi Jia, Carole-Jean Wu, Newsha Ardalani QuaMo: Quaternion Motions for Vision-Based 3D Human Kinematics Capture
Cuong Le, Pavlo Melnyk, Urs Waldmann, Mårten Wadenbäck, Bastian Wandt Quantile Advantage Estimation: Stabilizing RLVR for LLM Reasoning
Junkang Wu, Kexin Huang, Jiancan Wu, An Zhang, Xiang Wang, Xiangnan He Quantized Gradient Projection for Memory-Efficient Continual Learning
Dongjun Kim, Seohyeon Cha, Huancheng Chen, Chianing Wang, Haris Vikalo Quantized Visual Geometry Grounded Transformer
Weilun Feng, Haotong Qin, Mingqiang Wu, Chuanguang Yang, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Yulun Zhang, Michele Magno, Yongjun Xu QuantSparse: Comprehensively Compressing Video Diffusion Transformer with Model Quantization and Attention Sparsification
Weilun Feng, Chuanguang Yang, Haotong Qin, Mingqiang Wu, Yuqi Li, Xiangqi Li, Zhulin An, Libo Huang, Yulun Zhang, Michele Magno, Yongjun Xu Quasi-Equivariant Metanetworks
Viet-Hoang Tran, An Nguyen The, Benoît Guérand, Thieu Vo, Tan Minh Nguyen Query-Aware Flow Diffusion for Graph-Based RAG with Retrieval Guarantees
Zhuoping Zhou, Davoud Ataee Tarzanagh, Sima Didari, Wenjun Hu, Baruch Gutow, Oxana Verkholyak, Masoud Faraki, Heng Hao, Hankyu Moon, Seungjai Min Query-Level Uncertainty in Large Language Models
Lihu Chen, Gerard de Melo, Fabian M. Suchanek, Gaël Varoquaux QuestA: Expanding Reasoning Capacity in LLMs via Question Augmentation
Jiazheng Li, Hongzhou Lin, Hong Lu, Kaiyue Wen, Zaiwen Yang, Jiaxuan Gao, Yi Wu, Jingzhao Zhang QuoKA: Query-Oriented KV Selection for Efficient LLM Prefill
Dalton Jones, Junyoung Park, Matthew J Morse, Mingu Lee, Matthew Harper Langston, Christopher Lott Quotient-Space Diffusion Models
Yixian Xu, Yusong Wang, Shengjie Luo, Kaiyuan Gao, Tianyu He, Di He, Chang Liu QuRL: Low-Precision Reinforcement Learning for Efficient Reasoning
Yuhang Li, Reena Elangovan, Xin Dong, Priyadarshini Panda, Brucek Khailany QuRL: Rubrics as Judge for Open-Ended Question Answering
Xiyu Wei, Qingwei Zong, Xiaoguang Li, Eugene J. Yu, Sujian Li QVGen: Pushing the Limit of Quantized Video Generative Models
Yushi Huang, Ruihao Gong, Jing Liu, Yifu Ding, Chengtao Lv, Haotong Qin, Jun Zhang QVLA: Not All Channels Are Equal in Vision-Language-Action Model's Quantization
Yuhao Xu, Yantai Yang, Zhenyang Fan, Yufan Liu, Yuming Li, Bing Li, Zhipeng Zhang R-Horizon: How Far Can Your Large Reasoning Model Really Go in Breadth and Depth?
Yi Lu, Jianing Wang, Linsen Guo, Wei He, Hongyin Tang, Tao Gui, Xuanjing Huang, Xuezhi Cao, Wei Wang, Xunliang Cai R-WoM: Retrieval-Augmented World Model for Computer-Use Agents
Kai Mei, Jiang Guo, Shuaichen Chang, Mingwen Dong, Dongkyu Lee, Xing Niu, Jiarong Jiang R-Zero: Self-Evolving Reasoning LLM from Zero Data
Chengsong Huang, Wenhao Yu, Xiaoyang Wang, Hongming Zhang, Zongxia Li, Ruosen Li, Jiaxin Huang, Haitao Mi, Dong Yu R1-Code-Interpreter: LLMs Reason with Code via Supervised and Multi-Stage Reinforcement Learning
Yongchao Chen, Yueying Liu, Junwei Zhou, Yilun Hao, Jingquan Wang, Yang Zhang, Na Li, Chuchu Fan R1-Reward: Training Multimodal Reward Model Through Stable Reinforcement Learning
YiFan Zhang, Xingyu Lu, Xiao Hu, Chaoyou Fu, Bin Wen, Tianke Zhang, Changyi Liu, Kaiyu Jiang, Kaibing Chen, Kaiyu Tang, Haojie Ding, Jiankang Chen, Fan Yang, Zhang Zhang, Tingting Gao, Di Zhang, Guorui Zhou, Liang Wang R2-Dreamer: Redundancy-Reduced World Models Without Decoders or Augmentation
Naoki Morihira, Amal Nahar, Kartik Bharadwaj, Yasuhiro Kato, Akinobu Hayashi, Tatsuya Harada RADAR: Reasoning-Ability and Difficulty-Aware Routing for Reasoning LLMs
Nigel Fernandez, Branislav Kveton, Ryan A. Rossi, Andrew Lan, Zichao Wang Radiometrically Consistent Gaussian Surfels for Inverse Rendering
Kyu Beom Han, Jaeyoon Kim, Woo Jae Kim, Jinhwan Seo, Sung-eui Yoon RAEE: A Robust Retrieval-Augmented Early Exit Framework for Efficient Inference
Lianming Huang, Shangyu Wu, Yufei Cui, Ying Xiong, Haibo Hu, Xue Liu, Tei-Wei Kuo, Nan Guan, Chun Jason Xue RAG4DMC: Retrieval-Augmented Generation for Data-Level Modality Completion
Ningxin He, Yongheng Deng, Sheng Yue, Yongjian Fu, Zhangzehui, Tiegang Gao RainPro-8: An Efficient Deep Learning Model to Estimate Rainfall Probabilities over 8 Hours
Rafael Pablos Sarabia, Joachim Nyborg, Morten Birk, Jeppe Liborius Sjørup, Anders Lillevang Vesterholt, Ira Assent Random Controlled Differential Equations
Francesco Piatti, Thomas Cass, William F. Turner Random Policy Valuation Is Enough for LLM Reasoning with Verifiable Rewards
Haoran He, Yuxiao Ye, Qingpeng Cai, Chen Hu, Binxing Jiao, Daxin Jiang, Ling Pan Randomized Antipodal Search Done Right for Data Pareto Improvement of LLM Unlearning
Ziwen Liu, Huawei Lin, Yide Ran, Denghui Zhang, Jianwen Xie, Chuan Li, Weijie Zhao, Zhaozhuo Xu Rank-GRPO: Training LLM-Based Conversational Recommender Systems with Reinforcement Learning
Yaochen Zhu, Harald Steck, Dawen Liang, Yinhan He, Vito Claudio Ostuni, Jundong Li, Nathan Kallus RankFlow: Property-Aware Transport for Protein Optimization
Lu Yu, Wei Xiang, Kang Han, Gaowen Liu, Ramana Rao Kompella RAP: 3D Rasterization Augmented End-to-End Planning
Lan Feng, Yang Gao, Eloi Zablocki, Quanyi Li, Wuyang Li, Sichao Liu, Matthieu Cord, Alexandre Alahi RAPID$^3$: Tri-Level Reinforced Acceleration Policies for Diffusion Transformer
Wangbo Zhao, Yizeng Han, Zhiwei Tang, Jiasheng Tang, Pengfei Zhou, Kai Wang, Bohan Zhuang, Zhangyang Wang, Fan Wang, Yang You RAR: Reversing Visual Attention Re-Sinking for Unlocking Potential in Multimodal Large Language Models
Zhehan Kan, Xin Li, Yanlin Liu, Xiaochen Yang, Xinghua Jiang, Yinsong Liu, Deqiang Jiang, Xing Sun, Qingmin Liao, Wenming Yang RAS: Retrieval-and-Structuring for Knowledge-Intensive LLM Generation
Pengcheng Jiang, Lang Cao, Ruike Zhu, Minhao Jiang, Yunyi Zhang, Jiaming Shen, Jimeng Sun, Jiawei Han RAVEN: End-to-End Equivariant Robot Learning with RGB Cameras
David Klee, Boce Hu, Andrew Cole, Heng Tian, Dian Wang, Robert Platt, Robin Walters RAVENEA: A Benchmark for Multimodal Retrieval-Augmented Visual Culture Understanding
Jiaang Li, Yifei Yuan, Wenyan Li, Mohammad Aliannejadi, Daniel Hershcovich, Anders Søgaard, Ivan Vulić, Wenxuan Zhang, Paul Pu Liang, Yang Deng, Serge Belongie RayI2P: Learning Rays for Image-to-Point Cloud Registration
Xinjun Li, Wenfei Yang, Zhixin Cheng, Jiacheng Deng, Fei Wang, Chen Qian, Tianzhu Zhang RE-PO: Robust Enhanced Policy Optimization as a General Framework for LLM Alignment
Xiaoyang Cao, Zelai Xu, Mo Guang, Kaiwen Long, Michiel A. Bakker, Yu Wang, Chao Yu ReactDance: Hierarchical Representation for High-Fidelity and Coherent Long-Form Reactive Dance Generation
Jingzhong Lin, Xinru Li, Yuanyuan Qi, Bohao Zhang, Wenxiang Liu, Kecheng Tang, Wenxuan Huang, Xiangfeng Xu, Bangyan Li, Changbo Wang, Gaoqi He Read the Room: Video Social Reasoning with Mental-Physical Causal Chains
Lixing Niu, Jiapeng Li, Xingping Yu, Xinyi Dong, Shu Wang, Ruining Feng, Bo Wu, Ping Wei, Yisen Wang, Lifeng Fan Real-Time Motion-Controllable Autoregressive Video Diffusion
Kesen Zhao, Jiaxin Shi, Beier Zhu, Junbao Zhou, Xiaolong Shen, Yuan Zhou, Qianru Sun, Hanwang Zhang Real-Time Reasoning Agents in Evolving Environments
Yule Wen, Yixin Ye, Yanzhe Zhang, Diyi Yang, Hao Zhu Real-Time Robot Execution with Masked Action Chunking
Haoxuan Wang, Gengyu Zhang, Yan Yan, Yuzhang Shang, Ramana Rao Kompella, Gaowen Liu RealPDEBench: A Benchmark for Complex Physical Systems with Real-World Data
Peiyan Hu, Haodong Feng, Hongyuan Liu, Tongtong Yan, Wenhao Deng, Tianrun Gao, Rong Zheng, Haoren Zheng, Chenglei Yu, Chuanrui Wang, Kaiwen Li, Zhi-Ming Ma, Dezhi Zhou, Xingcai Lu, Dixia Fan, Tailin Wu Realtime Video Frame Interpolation Using One-Step Diffusion Sampling
Yongrui Ma, Shijie Zhao, Mingde Yao, Junlin Li, Li Zhang, Xiaohong Liu, Qi Dou, Jinwei Gu, Tianfan Xue REAP the Experts: Why Pruning Prevails for One-Shot MoE Compression
Mike Lasby, Ivan Lazarevich, Nish Sinnadurai, Sean Lie, Yani Ioannou, Vithursan Thangarasa reAR: Rethinking Visual Autoregressive Models via Token-Wise Consistency Regularization
Qiyuan He, Yicong Li, Haotian Ye, Jinghao Wang, Xinyao Liao, Pheng-Ann Heng, Stefano Ermon, James Zou, Angela Yao Reasoning Boosts Opinion Alignment in LLMs
Frédéric Berdoz, Yann Billeter, Yann Vonlanthen, Roger Wattenhofer Reasoning in Space via Grounding in the World
Yiming Chen, Zekun Qi, Wenyao Zhang, Xin Jin, Li Zhang, Peidong Liu Reasoning Language Model Inference Serving Unveiled: An Empirical Study
Qi Li, Junpan Wu, Xiang Liu, Yuxin Wang, Zeyu Li, Zhenheng Tang, Yuhan Chen, Shaohuai Shi, Xiaowen Chu Reasoning Models Can Be Accurately Pruned via Chain-of-Thought Reconstruction
Ryan Lucas, Kayhan Behdin, Zhipeng Wang, Qingquan Song, Shao Tang, Rahul Mazumder Reasoning on Time-Series for Financial Technical Analysis
Kelvin J.L. Koa, Jan Chen, Yunshan Ma, Zheng Huanhuan, Tat-Seng Chua Reasoning Scaffolding: Distilling the Flow of Thought from LLMs
Xiangyu Wen, Junhua Huang, Zeju Li, Min Li, Jianyuan Zhong, Zhijian Xu, Mingxuan Yuan, Yongxiang Huang, Qiang Xu Reasoning-Aligned Perception Decoupling for Scalable Multi-Modal Reasoning
Yunhao Gou, Kai Chen, Zhili Liu, Lanqing Hong, Xin Jin, Zhenguo Li, James Kwok, Yu Zhang Reasoning-Driven Multimodal LLM for Domain Generalization
Zhipeng Xu, Zilong Wang, Xinyang Jiang, Dongsheng Li, De Cheng, Nannan Wang ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory
Siru Ouyang, Jun Yan, I-Hung Hsu, Yanfei Chen, Ke Jiang, Zifeng Wang, Rujun Han, Long Le, Samira Daruki, Xiangru Tang, Vishy Tirumalashetty, George Lee, Mahsan Rofouei, Hangfei Lin, Jiawei Han, Chen-Yu Lee, Tomas Pfister Reassessing Layer Pruning in LLMs: New Insights and Methods
Yao Lu, Hao Cheng, Yujie Fang, Zeyu Wang, Jiaheng Wei, Dongwei Xu, Qi Xuan, Zhaowei Zhu RECAST: Expanding the Boundaries of LLMs' Complex Instruction Following with Multi-Constraint Data
Zhengkang Guo, Wenhao Liu, Mingchen Xie, Jingwen Xu, Zisu Huang, Muzhao Tian, Jianhan Xu, Yuanzhe Shen, Qi Qian, Muling Wu, Xiaohua Wang, Heda Wang, Yao Hu, Changze Lv, Xuanjing Huang, Xiaoqing Zheng RECODE-H: A Benchmark for Research Code Development with Interactive Human Feedback
Chunyu Miao, Henry Peng Zou, Yangning Li, Yankai Chen, Yibo Wang, Fangxin Wang, Yifan Li, Wooseong Yang, Bowei He, Xinni Zhang, Dianzhi Yu, Hanchen Yang, Hoang H Nguyen, Yue Zhou, Jie Yang, Jizhou Guo, Wenzhe Fan, Chin-Yuan Yeh, Panpan Meng, Liancheng Fang, Jinhu Qi, Wei-Chieh Huang, Zhengyao Gu, Yuwei Han, Langzhou He, Yuyao Yang, Xue Liu, Irwin King, Philip S. Yu ReCogDrive: A Reinforced Cognitive Framework for End-to-End Autonomous Driving
Yongkang Li, Kaixin Xiong, Xiangyu Guo, Fang Li, Sixu Yan, Gangwei Xu, Lijun Zhou, Long Chen, Haiyang Sun, Bing Wang, Kun Ma, Guang Chen, Hangjun Ye, Wenyu Liu, Xinggang Wang Reconstructing KV Caches with Cross-Layer Fusion for Enhanced Transformers
Hongzhan Lin, ZhiqiBai, Xinmiao Zhang, Siran Yang, Jiamang Wang, Yunlong Xu, Jiaheng Liu, Yongchi Zhao, Xiang Li, Yuchi Xu, Wenbo Su, Bo Zheng ReconViaGen: Towards Accurate Multi-View 3D Object Reconstruction via Generation
Jiahao Chang, Chongjie Ye, Yushuang Wu, Yuantao Chen, Yidan Zhang, Zhongjin Luo, Chenghong Li, Yihao Zhi, Xiaoguang Han Rectifying LLM Thought from Lens of Optimization
Junnan Liu, Hongwei Liu, Songyang Zhang, Kai Chen Recurrent Action Transformer with Memory
Egor Cherepanov, Aleksei Staroverov, Alexey Kovalev, Aleksandr Panov RedacBench: Can AI Erase Your Secrets?
Hyunjun Jeon, Kyuyoung Kim, Jinwoo Shin RedCodeAgent: Automatic Red-Teaming Agent Against Diverse Code Agents
Chengquan Guo, Chulin Xie, Yu Yang, Zhaorun Chen, Zinan Lin, Xander Davies, Yarin Gal, Dawn Song, Bo Li ReDDiT: Rehashing Noise for Discrete Visual Generation
Tianren Ma, Xiaosong Zhang, Boyu Yang, Junlan Feng, Qixiang Ye Redirection for Erasing Memory (REM): Towards a Universal Unlearning Method for Corrupted Data
Stefan Schoepf, Michael Curtis Mozer, Nicole Elyse Mitchell, Alexandra Brintrup, Georgios Kaissis, Peter Kairouz, Eleni Triantafillou RedSage: A Cybersecurity Generalist LLM
Naufal Suryanto, Muzammal Naseer, Pengfei Li, Syed Talal Wasim, Jinhui Yi, Juergen Gall, Paolo Ceravolo, Ernesto Damiani RedTeamCUA: Realistic Adversarial Testing of Computer-Use Agents in Hybrid Web-OS Environments
Zeyi Liao, Jaylen Jones, Linxi Jiang, Yuting Ning, Eric Fosler-Lussier, Yu Su, Zhiqiang Lin, Huan Sun Reducing Belief Deviation in Reinforcement Learning for Active Reasoning of LLM Agents
Deyu Zou, Yongqiang Chen, Jianxiang Wang, Garry Yang, Mufei Li, Qing Da, James Cheng, Pan Li, Yu Gong Reducing Class-Wise Performance Disparity via Margin Regularization
Beier Zhu, Kesen Zhao, Jiequan Cui, Qianru Sun, Yuan Zhou, Xun Yang, Hanwang Zhang Reevaluating Policy Gradient Methods for Imperfect-Information Games
Max Rudolph, Nathan Lichtlé, Sobhan Mohammadpour, Alexandre M Bayen, J Zico Kolter, Amy Zhang, Gabriele Farina, Eugene Vinitsky, Samuel Sokota Ref-Adv: Exploring MLLM Visual Reasoning in Referring Expression Tasks
Qihua Dong, Kuo Yang, Lin Ju, Handong Zhao, Yitian Zhang, Yizhou Wang, Huimin Zeng, Jianglin Lu, Yun Fu RefAny3D: 3D Asset-Referenced Diffusion Models for Image Generation
Hanzhuo Huang, Qingyang Bao, Zekai Gu, Zhongshuo Du, Cheng Lin, Yuan Liu, Sibei Yang Reference Grounded Skill Discovery
Seungeun Rho, Aaron Trinh, Danfei Xu, Sehoon Ha References Improve LLM Alignment in Non-Verifiable Domains
Kejian Shi, Yixin Liu, PeiFeng Wang, Alexander Fabbri, Shafiq Joty, Arman Cohan Referring Layer Decomposition
Fangyi Chen, Yaojie Shen, Lu Xu, Ye Yuan, Shu Zhang, Yulei Niu, Longyin Wen RefineBench: Evaluating Refinement Capability of Language Models via Checklists
Young-Jun Lee, Seungone Kim, Byung-Kwan Lee, Minkyeong Moon, Yechan Hwang, Jong Myoung Kim, Graham Neubig, Sean Welleck, Ho-Jin Choi ReFocusEraser: Refocusing for Small Object Removal with Robust Context-Shadow Repair
Qingping Zheng, Bo Huang, Yang Liu, Haoyu Zhao, Ling Zheng, Zengmao Wang, Ying Li, Jiankang Deng ReFORM: Reflected Flows for On-Support Offline RL via Noise Manipulation
Songyuan Zhang, Oswin So, H M Sabbir Ahmad, Eric Yang Yu, Matthew Cleaveland, Mitchell Black, Chuchu Fan ReForm: Reflective Autoformalization with Prospective Bounded Sequence Optimization
Guoxin Chen, Wu Jing, Xinjie Chen, Xin Zhao, Ruihua Song, Chengxi Li, Kai Fan, Dayiheng Liu, Minpeng Liao Reforming the Mechanism: Editing Reasoning Patterns in LLMs with Circuit Reshaping
Zhenyu Lei, Qiong Wu, Jianxiong Dong, Yinhan He, Emily Dodwell, Yushun Dong, Jundong Li Reformulation for Pretraining Data Augmentation
Xintong Hao, Rui-Jie Zhu, Ge Zhang, Ke Shen, Chenggang Li RegionE: Adaptive Region-Aware Generation for Efficient Image Editing
Pengtao Chen, Xianfang Zeng, Maosen Zhao, Mingzhu Shen, Peng Ye, Bangyin Xiang, Zhibo Wang, Wei Cheng, Gang Yu, Tao Chen RegionReasoner: Region-Grounded Multi-Round Visual Reasoning
Wenfang Sun, Hao Chen, Yingjun Du, Yefeng Zheng, Cees G. M. Snoek Regret-Guided Search Control for Efficient Learning in AlphaZero
Yun-Jui Tsai, Wei-Yu Chen, Yan-Ru Ju, Yu-Hung Chang, Ti-Rong Wu Regulating Internal Alignment Flows for Robust Learning Under Spurious Correlations
Rajeev Ranjan Dwivedi, Mohammedkaif Mohammedrafiq Kalagond, Niramay M.Patel, Vinod K. Kurmi ReIn: Conversational Error Recovery with Reasoning Inception
Takyoung Kim, Jinseok Nam, Chandrayee Basu, Xing Fan, Chengyuan Ma, Heng Ji, Gokhan Tur, Dilek Hakkani-Tür Reinforced Latent Reasoning for LLM-Based Recommendation
Yang Zhang, Wenxin Xu, Xiaoyan Zhao, Wenjie Wang, Fuli Feng, Xiangnan He, Tat-Seng Chua Reinforcement Learning via Value Gradient Flow
Haoran Xu, Kaiwen Hu, Somayeh Sojoudi, Amy Zhang Reinforcement Learning with Verifiable Rewards Implicitly Incentivizes Correct Reasoning in Base LLMs
Xumeng Wen, Zihan Liu, Shun Zheng, Shengyu Ye, Zhirong Wu, Yang Wang, Zhijian Xu, Xiao Liang, Junjie Li, Ziming Miao, Jiang Bian, Mao Yang Reinforcement Mid-Training
Yijun Tian, Shaoyu Chen, Zhichao Xu, Yawei Wang, Jinhe Bi, Peng Han, Wei Wang Reinforcing General Reasoning Without Verifiers
Xiangxin Zhou, Zichen Liu, Anya Sims, Haonan Wang, Tianyu Pang, Chongxuan Li, Liang Wang, Min Lin, Chao Du Relational Graph Transformer
Vijay Prakash Dwivedi, Sri Jaladi, Yangyi Shen, Federico Lopez, Charilaos I. Kanatsoulis, Rishi Puri, Matthias Fey, Jure Leskovec Relational Transformer: Toward Zero-Shot Foundation Models for Relational Data
Rishabh Ranjan, Valter Hudovernik, Mark Znidar, Charilaos I. Kanatsoulis, Roshan Reddy Upendra, Mahmoud Mohammadi, Joe Meyer, Tom Palczewski, Carlos Guestrin, Jure Leskovec Relative Entropy Pathwise Policy Optimization
Claas A Voelcker, Axel Brunnbauer, Marcel Hussing, Michal Nauman, Pieter Abbeel, Radu Grosu, Eric Eaton, Amir-massoud Farahmand, Igor Gilitschenski Relative Value Learning
Marc Höftmann, Jan Robine, Stefan Harmeling Relatron: Automating Relational Machine Learning over Relational Databases
Zhikai Chen, Han Xie, Jian Zhang, Jiliang Tang, Xiang Song, Huzefa Rangwala ReLi3D: Relightable Multi-View 3D Reconstruction with Disentangled Illumination
Jan-Niklas Dihlmann, Mark Boss, Simon Donné, Andreas Engelhardt, Hendrik Lensch, Varun Jampani Reliability-Adjusted Prioritized Experience Replay
Leonard S. Pleiss, Tobias Sutter, Maximilian Schiffer Reliable Evaluation of MRI Motion Correction: Dataset and Insights
Kun Wang, Tobit Klug, Stefan Ruschke, Jan Kirschke, Reinhard Heckel Reliable Fine-Grained Evaluation of Natural Language Math Proofs
Wenjie Ma, Andrei Cojocaru, Neel Kolhe, Haihan Zhang, Vincent Zhuang, Matei Zaharia, Sewon Min Reliable Probabilistic Forecasting of Irregular Time Series Through Marginalization-Consistent Flows
Vijaya Krishna Yalavarthi, Randolf Scholz, Christian Klötergens, Kiran Madhusudhanan, Stefan Born, Lars Schmidt-Thieme Reliable Weak-to-Strong Monitoring of LLM Agents
Neil Kale, Chen Bo Calvin Zhang, Kevin Zhu, Ankit Aich, Paula Rodriguez, Christina Q Knight, Zifan Wang Remaining-Data-Free Machine Unlearning by Suppressing Sample Contribution
Xinwen Cheng, Zhehao Huang, Wenxing Zhou, Zhengbao He, Ruikai Yang, Yingwen Wu, Xiaolin Huang REMem: Reasoning with Episodic Memory in Language Agent
Yiheng Shu, Saisri Padmaja Jonnalagedda, Xiang Gao, Bernal Jiménez Gutiérrez, Weijian Qi, Kamalika Das, Huan Sun, Yu Su RepIt: Steering Language Models with Concept-Specific Refusal Vectors
Vincent Siu, Nathan W. Henry, Nicholas Crispino, Yang Liu, Dawn Song, Chenguang Wang Replicable Reinforcement Learning with Linear Function Approximation
Eric Eaton, Marcel Hussing, Michael Kearns, Aaron Roth, Sikata Bela Sengupta, Jessica Sorrell Representation Alignment for Diffusion Transformers Without External Components
Dengyang Jiang, Mengmeng Wang, Liuzhuozheng Li, Lei Zhang, Haoyu Wang, Wei Wei, Guang Dai, Yanning Zhang, Jingdong Wang Representing Local Protein Environments with Machine Learning Force Fields
Meital Bojan, Sanketh Vedula, Sai Advaith Maddipatla, Nadav Bojan, Anar Rzayev, Federico Napoli, Paul Schanda, Alexander Bronstein RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning
Mingrui Wu, Lu Wang, Pu Zhao, Fangkai Yang, Jianjin Zhang, Jianfeng Liu, Yuefeng Zhan, Weihao Han, Hao Sun, Jiayi Ji, Xiaoshuai Sun, Qingwei Lin, Weiwei Deng, Dongmei Zhang, Feng Sun, Rongrong Ji RepSpec: Structural Re-Parameterized Draft Model Training for Speculative Decoding
Feiye Huo, Jianchao Tan, Jiahao Liu, Zixu Jiang, Jiacheng Li, Jingang Wang, Xunliang Cai, Shengli Sun Repurposing Synthetic Data for Fine-Grained Search Agent Supervision
Yida Zhao, Kuan Li, Xixi Wu, Liwen Zhang, Ding-Chu Zhang, Baixuan Li, Maojia Song, Zhuo Chen, Chenxi Wang, Xinyu Wang, Kewei Tu, Pengjun Xie, Fei Huang, Jingren Zhou, Yong Jiang RESA: Bringing Back What Sparse Attention Ignores with Residual Estimation
Weihao Yang, Hao Huang, Ningke Li, Shihao Wang, Darong Yang, Yanqi Pan, Wen Xia, Shiyi Li, Xiangyu Zou ResCP: Reservoir Conformal Prediction for Time Series Forecasting
Roberto Neglia, Andrea Cini, Michael M. Bronstein, Filippo Maria Bianchi ResearchRubrics: A Benchmark of Prompts and Rubrics for Evaluating Deep Research Agents
Manasi Sharma, Chen Bo Calvin Zhang, Chaithanya Bandi, Clinton Wang, Ankit Aich, Huy Nghiem, Tahseen Rabbani, Ye Htet, Brian Jang, Sumana Basu, Aishwarya Balwani, Denis Peskoff, Marcos Ayestaran, Sean M. Hendryx, Brad Kenstler, Bing Liu Resisting Contextual Interference in RAG via Parametric-Knowledge Reinforcement
Chenyu Lin, Yilin Wen, Du Su, Hexiang Tan, Fei Sun, Muhan Chen, Chenfu Bao, Zhonghou Lv RESTRAIN: From Spurious Votes to Signals — Self-Training RL with Self-Penalization
Zhaoning Yu, Zhaolun Su, Leitian Tao, Haozhu Wang, Aashu Singh, Hanchao Yu, Jianyu Wang, Hongyang Gao, Weizhe Yuan, Jason E Weston, Ping Yu, Jing Xu ResWorld: Temporal Residual World Model for End-to-End Autonomous Driving
Jinqing Zhang, Zehua Fu, Zelinxu, Wenying.Dai, Qingjie Liu, Yunhong Wang ReTabAD: A Benchmark for Restoring Semantic Context in Tabular Anomaly Detection
Sanghyu Yoon, Dongmin Kim, Suhee Yoon, Ye Seul Sim, Seungdong Yoa, Hye-Seung Cho, Soonyoung Lee, Hankook Lee, Woohyung Lim Rethinking Data Curation in LLM Training: Online Reweighting Offers Better Generalization than Offline Methods
Wanru Zhao, Yihong Chen, Yuzhi Tang, Wentao Ma, Shengchao Hu, Shell Xu Hu, Alex Iacob, Abhinav Mehrotra, Nicholas D. Lane Rethinking Driving World Model as Synthetic Data Generator for Perception Tasks
Kai Zeng, Zhanqian Wu, Kaixin Xiong, Xiaobao Wei, Xiangyu Guo, Zhenxin Zhu, Kalok Ho, Lijun Zhou, Bohan Zeng, Ming Lu, Haiyang Sun, Bing Wang, Guang Chen, Hangjun Ye, Wentao Zhang Rethinking Expressivity and Degradation-Awareness in Attention for All-in-One Blind Image Restoration
Bin Ren, Runyi Yang, Qi Ma, Xu Zheng, Mengyuan Liu, Danda Pani Paudel, Luc Van Gool, Rita Cucchiara, Nicu Sebe Rethinking Global Text Conditioning in Diffusion Transformers
Nikita Starodubcev, Daniil Pakhomov, Zongze Wu, Ilya Drobyshevskiy, Yuchen Liu, Zhonghao Wang, Yuqian Zhou, Zhe Lin, Dmitry Baranchuk Rethinking JEPA: Compute‑Efficient Video Self-Supervised Learning with Frozen Teachers
Xianhang Li, Chen Huang, Chun-Liang Li, Eran Malach, Joshua M. Susskind, Vimal Thilak, Etai Littwin Rethinking Layer Relevance in Large Language Models Beyond Cosine Similarity
Cristian Hinostroza, Rodrigo Toro Icarte, Christ Devia, Andres Carvallo De Ferari, Eugenio Herrera-Berg, Denis Parra, Jorge F Silva Rethinking LLM Evaluation: Can We Evaluate LLMs with 200× Less Data?
Shaobo Wang, Cong Wang, Wenjie Fu, Yue Min, Mingquan Feng, Isabel Guan, Xuming Hu, Conghui He, Cunxiang Wang, Kexin Yang, Xingzhang Ren, Fei Huang, Dayiheng Liu, Linfeng Zhang Rethinking LLM Reasoning: From Explicit Trajectories to Latent Representations
Cong Jiang, Xiaofeng Zhang, Fangzhi Zhu, XiaoWei Chen, Junxiong Zhu, Zheng Zhang Rethinking LLM-as-a-Judge: Representation-as-a-Judge with Small Language Models via Semantic Capacity Asymmetry
Zhuochun Li, Yong Zhang, Ming Li, Yuelyu Ji, Yiming Zeng, Ning Cheng, Yun Zhu, Yanmeng Wang, Shaojun Wang, Jing Xiao, Daqing He Rethinking Residual Errors in Compensation-Based LLM Quantization
Shuaiting Li, Juncan Deng, Kedong Xu, Rongtao Deng, Hong Gu, Minghan Jiang, Haibin Shen, Kejie Huang ReTool: Reinforcement Learning for Strategic Tool Use in LLMs
Jiazhan Feng, Shijue Huang, Xingwei Qu, Ge Zhang, Yujia Qin, Baoquan Zhong, Chengquan Jiang, Jinxin Chi, Wanjun Zhong Retrieval-of-Thought: Efficient Reasoning via Reusing Thoughts
Ammar Ahmed, Azal Ahmad Khan, Ayaan Ahmad, Sheng Di, Zirui Liu, Ali Anwar Retro*: Optimizing LLMs for Reasoning-Intensive Document Retrieval
Junwei Lan, Jianlyu Chen, Zheng Liu, Chaofan Li, Siqi Bao, Defu Lian Reusing Pre-Training Data at Test Time Is a Compute Multiplier
Alex Fang, Thomas Voice, Ruoming Pang, Ludwig Schmidt, Tom Gunter ReVeal: Self-Evolving Code Agents via Reliable Self-Verification
Yiyang Jin, Kunzhao Xu, Hang Li, Xueting Han, Yanmin Zhou, Cheng Li, Jing Bai Revela: Dense Retriever Learning via Language Modeling
Fengyu Cai, Tong Chen, Xinran Zhao, Sihao Chen, Hongming Zhang, Tongshuang Wu, Iryna Gurevych, Heinz Koeppl Reverse-Engineered Reasoning for Open-Ended Generation
Haozhe Wang, Haoran Que, Qixin Xu, Minghao Liu, Wangchunshu Zhou, Jiazhan Feng, Wanjun Zhong, Wei Ye, Tong Yang, Wenhao Huang, Ge Zhang, Fangzhen Lin Revisit Visual Prompt Tuning: The Expressiveness of Prompt Experts
Minh Le, Anh Nguyen, Huy Nguyen, Chau Nguyen, Anh Tuan Tran, Nhat Ho Revisiting [CLS] and Patch Token Interaction in Vision Transformers
Alexis Marouani, Oriane Siméoni, Herve Jegou, Piotr Bojanowski, Huy V. Vo Revisiting Group Relative Policy Optimization: Insights into On-Policy and Off-Policy Training
Youssef Mroueh, Nicolas Dupuis, Brian Belgodere, Apoorva Nitsure, Mattia Rigotti, Kristjan Greenewald, Jiri Navratil, Jarret Ross, Jesus Rios Revisiting Long-Context Modeling from Context Denoising Perspective
Zecheng Tang, Baibei Ji, Juntao Li, Lijun Wu, Haijia Gui, Min Zhang Revisiting Multimodal Positional Encoding in Vision–Language Models
Jie Huang, Xuejing Liu, Sibo Song, RuiBing Hou, Hong Chang, Junyang Lin, Shuai Bai Revisiting Parameter Server in LLM Post-Training
Xinyi Wan, Penghui Qi, Guangxing Huang, Chaoyi Ruan, Min Lin, Jialin Li Revisiting the past: Data Unlearning with Model State History
Keivan Rezaei, Mehrdad Saberi, Abhilasha Ravichander, Soheil Feizi Revisiting Tree-Sliced Wasserstein Distance Through the Lens of the Fermat–Weber Problem
Viet-Hoang Tran, Thanh Tran, Thanh Chu, Trung-Khang Tran, Duy-Tung Pham, Tam Le, Tan Minh Nguyen Revisiting Weight Regularization for Low-Rank Continual Learning
Yaoyue Zheng, Yin Zhang, Joost van de Weijer, Gido M van de Ven, Shaoyi Du, Xuetao Zhang, Zhiqiang Tian Revisting Node Affinity Prediction in Temporal Graphs
Or Feldman, Krishna Sri Ipsit Mantri, Moshe Eliasof, Chaim Baskin Revisual-R1: Advancing Multimodal Reasoning from Optimized Cold Start to Staged Reinforcement Learning
Shuang Chen, Hangyu Guo, Zhaochen Su, Yafu Li, Jiacheng Chen, Yulun Wu, Weijie Wang, ZhiYuan Feng, Xiaoye Qu, Yu Cheng Reward Is Enough: LLMs Are In-Context Reinforcement Learners
Kefan Song, Amir Moeini, Peng Wang, Lei Gong, Rohan Chandra, Shangtong Zhang, Yanjun Qi Reward Models Inherit Value Biases from Pretraining
Brian Christian, Jessica A F Thompson, Elle, Vincent Adam, Hannah Rose Kirk, Christopher Summerfield, Tsvetomira Dumbalska RewardBench 2: Advancing Reward Model Evaluation
Saumya Malik, Valentina Pyatkin, Sander Land, Jacob Morrison, Noah A. Smith, Hannaneh Hajishirzi, Nathan Lambert Rewarding Doubt: A Reinforcement Learning Approach to Calibrated Confidence Expression of Large Language Models
David Bani-Harouni, Chantal Pellegrini, Paul Stangel, Ege Özsoy, Kamilia Zaripova, Nassir Navab, Matthias Keicher Rewriting Pre-Training Data Boosts LLM Performance in Math and Code
Kazuki Fujii, Yukito Tajima, Sakae Mizuki, Masaki Kawamura, Hinari Shimada, Taihei Shiotani, Koshiro Saito, Masanari Oi, Taishi Nakamura, Takumi Okamoto, Shigeki Ishida, Kakeru Hattori, Youmi Ma, Hiroya Takamura, Rio Yokota, Jun Sakuma, Naoaki Okazaki RF-DETR: Neural Architecture Search for Real-Time Detection Transformers
Isaac Robinson, Peter Robicheaux, Matvei Popov, Deva Ramanan, Neehar Peri Riemannian Variational Flow Matching for Material and Protein Design
Olga Zaghen, Floor Eijkelboom, Alison Pouplin, Cong Liu, Max Welling, Jan-Willem van de Meent, Erik J Bekkers RIG: Synergizing Reasoning and Imagination in End-to-End Generalist Policy
Zhonghan Zhao, Wenwei Zhang, Haian Huang, Kuikun Liu, Jianfei Gao, Gaoang Wang, Kai Chen Rigidity-Aware Geometric Pretraining for Protein Design and Conformational Ensembles
Zhanghan Ni, Yanjing Li, Zeju Qiu, Bernhard Schölkopf, Hongyu Guo, Weiyang Liu, Shengchao Liu Risk-Sensitive Agent Compositions
Guruprerana Shabadi, Rajeev Alur RiskPO: Risk-Based Policy Optimization with Verifiable Reward for LLM Post-Training
Tao Ren, Jinyang Jiang, Hui Yang, Wan Tian, Minhao Zou, Guanghao Li, Zishi Zhang, Qinghao Wang, Shentao Qin, Yanjun Zhao, Rui Tao, Hui Shao, Yijie Peng RIVER: A Real-Time Interaction Benchmark for Video LLMs
Yansong Shi, Qingsong Zhao, Tianxiang Jiang, Xiangyu Zeng, Yi Wang, Limin Wang RL for Reasoning by Adaptively Revealing Rationales
Mohammad Hossein Amani, Aryo Lotfi, Nicolas Baldwin, Samy Bengio, Mehrdad Farajtabar, Emmanuel Abbe, Robert West RL Grokking Recipe: How Does RL Unlock and Transfer New Algorithms in LLMs?
Yiyou Sun, Yuhan Cao, Pohao Huang, Haoyue Bai, Hannaneh Hajishirzi, Nouha Dziri, Dawn Song RL Makes MLLMs See Better than SFT
Junha Song, Sangdoo Yun, Dongyoon Han, Jaegul Choo, Byeongho Heo RL Squeezes, SFT Expands: A Comparative Study of Reasoning LLMs
Kohsei Matsutani, Shota Takashiro, Gouki Minegishi, Takeshi Kojima, Yusuke Iwasawa, Yutaka Matsuo RLAD: Training LLMs to Discover Abstractions for Solving Reasoning Problems
Yuxiao Qu, Anikait Singh, Yoonho Lee, Amrith Setlur, Ruslan Salakhutdinov, Chelsea Finn, Aviral Kumar RLBFF: Binary Flexible Feedback to Bridge Between Human Feedback & Verifiable Rewards
Zhilin Wang, Jiaqi Zeng, Olivier Delalleau, Ellie Evans, Daniel Egert, Hoo-Chang Shin, Felipe Soares, Yi Dong, Oleksii Kuchaiev RLP: Reinforcement as a Pretraining Objective
Ali Hatamizadeh, Syeda Nahida Akter, Shrimai Prabhumoye, Jan Kautz, Mostofa Patwary, Mohammad Shoeybi, Bryan Catanzaro, Yejin Choi RLVER: Reinforcement Learning with Verifiable Emotion Rewards for Empathetic Agents
Peisong Wang, Ruotian Ma, Bang Zhang, Xingyu Chen, Zhiwei He, Kang Luo, Qingsong Lv, Qingxuan Jiang, Zheng Xie, Shanyi Wang, Cixing Li, Yuan Li, Fanghua Ye, Jian Li, Yifan Yang, Jia Li, Zhaopeng Tu, Xiaolong Li RM-R1: Reward Modeling as Reasoning
Xiusi Chen, Gaotang Li, Ziqi Wang, Bowen Jin, Cheng Qian, Yu Wang, Hongru Wang, Yu Zhang, Denghui Zhang, Tong Zhang, Hanghang Tong, Heng Ji RoboInter: A Holistic Intermediate Representation Suite Towards Robotic Manipulation
Hao Li, Ziqin Wang, Zi-han Ding, Shuai Yang, Yilun Chen, Yang Tian, Xiaolin Hu, Tai Wang, Dahua Lin, Feng Zhao, Si Liu, Jiangmiao Pang RoboMD: Uncovering Robot Vulnerabilities Through Semantic Potential Fields
Som Sagar, Jiafei Duan, Sreevishakh Vasudevan, Yifan Zhou, Heni Ben Amor, Dieter Fox, Ransalu Senanayake RoboOmni: Proactive Robot Manipulation in Omni-Modal Context
Siyin Wang, Jinlan Fu, Feihong Liu, Xinzhe He, Huangxuan Wu, Junhao Shi, Kexin Huang, Zhaoye Fei, Jingjing Gong, Zuxuan Wu, Yu-Gang Jiang, See-Kiong Ng, Tat-Seng Chua, Xipeng Qiu RoboPARA: Dual-Arm Robot Planning with Parallel Allocation and Recomposition Across Tasks
Shiying Duan, Pei Ren, Nanxiang Jiang, Zhengping Che, Jian Tang, Zhaoxin Fan, Yifan Sun, Wenjun Wu RobotArena $\infty$: Scalable Robot Benchmarking via Real-to-Sim Translation
Yash Jangir, Yidi Zhang, Kashu Yamazaki, Chenyu Zhang, Kuan-Hsun Tu, Tsung-Wei Ke, Lei Ke, Yonatan Bisk, Katerina Fragkiadaki Robotic Manipulation by Imitating Generated Videos Without Physical Demonstrations
Shivansh Patel, Shraddhaa Mohan, Hanlin Mai, Unnat Jain, Svetlana Lazebnik, Yunzhu Li Robust Adaptive Multi-Step Predictive Shielding
Tanmay Ambadkar, Darshan Chudiwal, Greg Anderson, Abhinav Verma Robust Adversarial Attacks Against Unknown Disturbance via Inverse Gradient Sample
Zhaoyang Zhang, Shen Wang, Runze Liu, Guopu Zhu, Fanghui Sun, Ye Lu, Zeyue Wang, Yihan Yan Robust Amortized Bayesian Inference with Self-Consistency Losses on Unlabeled Data
Aayush Mishra, Daniel Habermann, Marvin Schmitt, Stefan T. Radev, Paul-Christian Bürkner Robust and Interpretable Adaptation of Equivariant Materials Foundation Models via Sparsity-Promoting Fine-Tuning
Youngwoo Cho, Seunghoon Yi, Wooil Yang, Sungmo Kang, Young-Woo Son, Jaegul Choo, Joonseok Lee, Soo Kyung Kim, Hongkee Yoon Robust Federated Inference
Akash Dhasade, Sadegh Farhadkhani, Rachid Guerraoui, Nirupam Gupta, Maxime Jacovella, Anne-Marie Kermarrec, Rafael Pinot Robust Fine-Tuning from Non-Robust Pretrained Models: Mitigating Suboptimal Transfer with Epsilon-Scheduling
Jonas Ngnawe, Maxime Heuillet, Sabyasachi Sahoo, Yann Pequignot, Ola Ahmad, Audrey Durand, Frederic Precioso, Christian Gagné Robust LLM Unlearning via Post Judgment and Multi-Round Thinking
Xinrui Chen, Xu Cao, Jianhao Zhang, Pinlong Zhao, Di Gao, Ou Wu Robust Multi-Objective Controlled Decoding of Large Language Models
Seongho Son, William Bankes, Sangwoong Yoon, Shyam Sundhar Ramesh, Xiaohang Tang, Ilija Bogunovic Robust Reward Modeling via Causal Rubrics
Pragya Srivastava, Harman Singh, Rahul Madhavan, Gandharv Patil, Sravanti Addepalli, Arun Suggala, Rengarajan Aravamudhan, Soumya Sharma, Anirban Laha, Aravindan Raghuveer, Karthikeyan Shanmugam, Doina Precup Robust Spiking Neural Networks Against Adversarial Attacks
Shuai Wang, Malu Zhang, Yulin Jiang, Dehao Zhang, Ammar Belatreche, Yu Liang, Yimeng Shan, Zijian Zhou, Yang Yang, Haizhou Li Robust Training of Neural Networks at Arbitrary Precision and Sparsity
Chengxi Ye, Grace Chu, Yanfeng Liu, Yichi Zhang, Lukasz Lew, Li Zhang, Mark Sandler, Andrew G. Howard RobustSpring: Benchmarking Robustness to Image Corruptions for Optical Flow, Scene Flow and Stereo
Victor Oei, Jenny Schmalfuss, Lukas Mehl, Madlen Bartsch, Shashank Agnihotri, Margret Keuper, Andreas Bulling, Andres Bruhn Rodrigues Network for Learning Robot Actions
Jialiang Zhang, Haoran Geng, Yang You, Congyue Deng, Pieter Abbeel, Jitendra Malik, Leonidas Guibas ROSETTA: Constructing Code-Based Reward from Unconstrained Language Preference
Sanjana Srivastava, Kangrui Wang, Yung-Chieh Chan, Tianyuan Dai, Manling Li, Ruohan Zhang, Mengdi Xu, Jiajun Wu, Li Fei-Fei Rote Learning Considered Useful: Generalizing over Memorized Data in LLMs
Qinyuan Wu, Soumi Das, Mahsa Amani, Bishwamittra Ghosh, Mohammad Aflah Khan, Krishna P. Gummadi, Muhammad Bilal Zafar RouterArena: An Open Platform for Comprehensive Comparison of LLM Routers
Yifan Lu, Rixin Liu, Jiayi Yuan, Xingqi Cui, Shenrun Zhang, Hongyi Liu, Jiarong Xing Routing Matters in MoE: Scaling Diffusion Transformers with Explicit Routing Guidance
Yujie Wei, Shiwei Zhang, Hangjie Yuan, Yujin Han, Zhekai Chen, Jiayu Wang, Difan Zou, Xihui Liu, Yingya Zhang, Yu Liu, Hongming Shan ROVER: Benchmarking Reciprocal Cross-Modal Reasoning for Omnimodal Generation
Yongyuan Liang, Wei Chow, Feng Li, Ziqiao Ma, Xiyao Wang, Jiageng Mao, Jiuhai Chen, Jiatao Gu, Yue Wang, Furong Huang RPG: A Repository Planning Graph for Unified and Scalable Codebase Generation
Jane Luo, Xin Zhang, Steven Liu, Jie Wu, Jianfeng Liu, Yiming Huang, Yangyu Huang, Chengyu Yin, Ying Xin, Yuefeng Zhan, Hao Sun, Qi Chen, Scarlett Li, Mao Yang RRNCO: Towards Real-World Routing with Neural Combinatorial Optimization
Jiwoo Son, Zhikai Zhao, Federico Berto, Chuanbo Hua, Zhiguang Cao, Changhyun Kwon, Jinkyoo Park Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains
Anisha Gunjal, Anthony Wang, Elaine Lau, Vaskar Nath, Yunzhong He, Bing Liu, Sean M. Hendryx S2GO: Streaming Sparse Gaussian Occupancy
Jinhyung Park, Chensheng Peng, Yihan Hu, Wenzhao Zheng, Kris Kitani, Wei Zhan S2R-HDR: A Large-Scale Rendered Dataset for HDR Fusion
Yujin Wang, Jiarui Wu, Yichen Bian, Fan Zhang, Tianfan Xue Safe Exploration via Policy Priors
Manuel Wendl, Yarden As, Manish Prajapat, Anton Pollak, Stelian Coros, Andreas Krause SafeDialBench: A Fine-Grained Safety Evaluation Benchmark for Large Language Models in Multi-Turn Dialogues with Diverse Jailbreak Attacks
Hongye Cao, Sijia Jing, Yanming Wang, Ziyue Peng, Zhixin Bai, Zhe Cao, Meng Fang, Fan Feng, Jiaheng Liu, Boyan Wang, Tianpei Yang, Jing Huo, Yang Gao, Fanyu Meng, Xi Yang, Chao Deng, Junlan Feng SafeDPO: A Simple Approach to Direct Preference Optimization with Enhanced Safety
Geon-Hyeong Kim, Yu Jin Kim, Byoungjip Kim, Honglak Lee, Kyunghoon Bae, Youngsoo Jang, Moontae Lee Safety at One Shot: Patching Fine-Tuned LLMs with a Single Instance
Jiawen Zhang, Tony He, Kejia Chen, Jian Lou, Jian Liu, Xiaohu Yang, Ruoxi Jia SAGA: Structural Aggregation Guided Alignment with Dynamic View and Neighborhood Order Selection for Multiview Graph Domain Adaptation
Ruiyi Fang, Jingyu Zhao, Shuo Wang, Ruizhi Pu, Bingheng Li, Jiale Cai, Zhihao Li, Zihao Jing, Jian Zhu, Song Tang, Charles Ling, Boyu Wang SAGE: Spatial-Visual Adaptive Graph Exploration for Efficient Visual Place Recognition
Shunpeng Chen, Changwei Wang, Rongtao Xu, Peixingtian, Yukun Song, Jinzhou Lin, Wenhao Xu, Jingyizhang, Li Guo, Shibiao Xu SAIR: Enabling Deep Learning for Protein-Ligand Interactions with a Synthetic Structural Dataset
Pablo Lemos, Zane Beckwith, Sasaank Bandi, Maarten Van Damme, Jordan Crivelli-Decker, Benjamin J. Shields, Thomas Merth, Punit K Jha, Nicola De Mitri, Tiffany Callahan, Aj Nish, Paul Abruzzo, Romelia Salomon-Ferrer, Martin Ganahl SAM 3: Segment Anything with Concepts
Nicolas Carion, Laura Gustafson, Yuan-Ting Hu, Shoubhik Debnath, Ronghang Hu, Didac Suris Coll-Vinent, Chaitanya Ryali, Kalyan Vasudev Alwala, Haitham Khedr, Andrew Huang, Jie Lei, Tengyu Ma, Baishan Guo, Arpit Kalla, Markus Marks, Joseph Greer, Meng Wang, Peize Sun, Roman Rädle, Triantafyllos Afouras, Effrosyni Mavroudi, Katherine Xu, Tsung-Han Wu, Yu Zhou, Liliane Momeni, Rishi Hazra, Shuangrui Ding, Sagar Vaze, Francois Porcher, Feng Li, Siyuan Li, Aishwarya Kamath, Ho Kei Cheng, Piotr Dollar, Nikhila Ravi, Kate Saenko, Pengchuan Zhang, Christoph Feichtenhofer Sample Complexity and Representation Ability of Test-Time Scaling Paradigms
Baihe Huang, Shanda Li, Tianhao Wu, Yiming Yang, Ameet Talwalkar, Kannan Ramchandran, Michael I. Jordan, Jiantao Jiao Sample Efficient Offline RL via T-Symmetry Enforced Latent State-Stitching
Peng Cheng, Zhihao Wu, Jianxiong Li, Ziteng He, Haoran Xu, Wei Sun, Youfang Lin, Yunxin Liu, Xianyuan Zhan Sample Lottery: Unsupervised Discovery of Critical Instances for LLM Reasoning
Zhiping Xiao, Yusheng Zhao, Qixin Zhang, Jiaye Xie, Wanjia Zhao, Weizhi Zhang, Xiao Luo, Philip S. Yu, Ming Zhang Sample More to Think Less: Group Filtered Policy Optimization for Concise Reasoning
Vaishnavi Shrivastava, Ahmed Hassan Awadallah, Vidhisha Balachandran, Shivam Garg, Harkirat Behl, Dimitris Papailiopoulos Sample-Efficient and Scalable Exploration in Continuous-Time RL
Klemens Iten, Lenart Treven, Bhavya Sukhija, Florian Dorfler, Andreas Krause Samples Are Not Equal: A Sample Selection Approach for Deep Clustering
Zhengxing Jiao, Yaxin Hou, Jun Ma, Yuhang Li, Ding Ding, Yuheng Jia, Hui Liu, Junhui Hou Sampling Complexity of TD and PPO in RKHS
Lu Zou, Wendi Ren, Weizhong Zhang, Liang Ding, Shuang Li SANA-Video: Efficient Video Generation with Block Linear Diffusion Transformer
Junsong Chen, Yuyang Zhao, Jincheng Yu, Ruihang Chu, Junyu Chen, Shuai Yang, Xianbang Wang, Yicheng Pan, Daquan Zhou, Huan Ling, Haozhe Liu, Hongwei Yi, Hao Zhang, Muyang Li, Yukang Chen, Han Cai, Sanja Fidler, Ping Luo, Song Han, Enze Xie Sapiens2
Rawal Khirodkar, He Wen, Julieta Martinez, Yuan Dong, Zhaoen Su, Shunsuke Saito SARM: Stage-Aware Reward Modeling for Long Horizon Robot Manipulation
Qianzhong Chen, Justin Yu, Mac Schwager, Pieter Abbeel, Fred Shentu, Philipp Wu Sat3DGen: Comprehensive Street-Level 3D Scene Generation from Single Satellite Image
Ming Qian, Zimin Xia, Changkun Liu, Shuailei Ma, Wen Wang, Zeran Ke, Bin Tan, Hang Zhang, Gui-Song Xia SC-Arena: A Natural Language Benchmark for Single-Cell Reasoning with Knowledge-Augmented Evaluation
Jiahao Zhao, Feng Jiang, Shaowei Qin, Zhonghui Zhang, Junhao Liu, Guibing Guo, Hamid Alinejad-Rokny, Min Yang Scalable and Adaptive Trust-Region Learning via Projection Convex Hull
Hongyang Jia, Qingchun Hou, Bojun Du, Xiao Cai, Ning Zhang, Chongqing Kang Scalable Chain of Thoughts via Elastic Reasoning
Yuhui Xu, Hanze Dong, Lei Wang, Doyen Sahoo, Junnan Li, Caiming Xiong Scalable In-Context Q-Learning
Jinmei Liu, Fuhong Liu, Zhenhong Sun, Jianye Hao, Huaxiong Li, Bo Wang, Daoyi Dong, Chunlin Chen, Zhi Wang Scalable Multilingual Multimodal Machine Translation with Speech-Text Fusion
Yexing Du, Youcheng Pan, Zekun Wang, Zheng Chu, Yichong Huang, Kaiyuan Liu, Bo Yang, Yang Xiang, Ming Liu, Bing Qin Scalable Offline Model-Based RL with Action Chunks
Kwanyoung Park, Seohong Park, Youngwoon Lee, Sergey Levine Scalable Spatio-Temporal SE(3) Diffusion for Long-Horizon Protein Dynamics
Nima Shoghi, Yuxuan Liu, Yuning Shen, Rob Brekelmans, Pan Li, Quanquan Gu Scalable Training for Vector-Quantized Networks with 100% Codebook Utilization
Yifan Chang, Jie Qin, Limeng Qiao, Xiaofeng Wang, Zheng Zhu, Lin Ma, Xingang Wang Scale-Wise Distillation of Diffusion Models
Nikita Starodubcev, Ilya Drobyshevskiy, Denis Kuznedelev, Artem Babenko, Dmitry Baranchuk ScaleCap: Scalable Image Captioning via Dual-Modality Debiasing
Long Xing, Qidong Huang, Xiaoyi Dong, Pan Zhang, Yuhang Zang, Yuhang Cao, Jinsong Li, Shuangrui Ding, Weiming Zhang, Nenghai Yu, Jiaqi Wang, Feng Wu, Dahua Lin ScaleCUA: Scaling Open-Source Computer Use Agents with Cross-Platform Data
Zhaoyang Liu, JingJing Xie, Zichen Ding, Zehao Li, Bowen Yang, Zhenyu Wu, Xuehui Wang, Qiushi Sun, Shi Liu, Weiyun Wang, Shenglong Ye, Qingyun Li, Zeyue Tian, Gen Luo, Xiangyu Yue, Biqing Qi, Kai Chen, Bowen Zhou, Yu Qiao, Qifeng Chen, Wenhai Wang ScaleLong: A Multi-Timescale Benchmark for Long Video Understanding
David Ma, Huaqing Yuan, Xingjian Wang, Qianbo Zang, Tianci Liu, Xinyang He, Yanbin Wei, Jiawei Guo, Nijiahui, Zhenzhu Yang, Meng Cao, Shanghaoran Quan, Yizhi Li, Wangchunshu Zhou, Jiaheng Liu, Wenhao Huang, Ge Zhang, Shiwen Ni, Xiaojie Jin Scaling Agent Learning via Experience Synthesis
Zhaorun Chen, Zhuokai Zhao, Kai Zhang, Bo Liu, Qi Qi, Yifan Wu, Tarun Kalluri, Xuefei Cao, Yuanhao Xiong, Haibo Tong, Huaxiu Yao, Hengduo Li, Jiacheng Zhu, Xian Li, Dawn Song, Bo Li, Jason E Weston, Dat Huynh Scaling Agents via Continual Pre-Training
Liangcai Su, Zhen Zhang, Guangyu Li, Zhuo Chen, Chenxi Wang, Maojia Song, Xinyu Wang, Kuan Li, Jialong Wu, Xuanzhong Chen, Zile Qiao, Zhongwang Zhang, Huifeng Yin, Shihao Cai, Runnan Fang, Zhengwei Tao, Wenbiao Yin, Rui Ye, Yong Jiang, Ningyu Zhang, Pengjun Xie, Fei Huang, Kai Ye, Kewei Tu, Chenxiong Qian, Jingren Zhou Scaling Atomistic Protein Binder Design with Generative Pretraining and Test-Time Compute
Kieran Didi, Zuobai Zhang, Guoqing Zhou, Danny Reidenbach, Zhonglin Cao, Sooyoung Cha, Tomas Geffner, Christian Dallago, Jian Tang, Michael M. Bronstein, Martin Steinegger, Emine Kucukbenli, Arash Vahdat, Karsten Kreis Scaling Attention via Feature Sparsity
Yan Xie, Tiansheng Wen, Tang Da Huang, Bo Chen, Chenyu You, Stefanie Jegelka, Yifei Wang Scaling Behavior of Discrete Diffusion Language Models
Dimitri von Rütte, Janis Fluri, Omead Pooladzandi, Bernhard Schölkopf, Thomas Hofmann, Antonio Orvieto Scaling Generalist Data-Analytic Agents
Shuofei Qiao, Yanqiu Zhao, Zhisong Qiu, Xiaobin Wang, Jintian Zhang, Zhao Bin, Ningyu Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Huajun Chen Scaling Group Inference for Diverse and High-Quality Generation
Gaurav Parmar, Or Patashnik, Daniil Ostashev, Kuan-Chieh Jackson Wang, Kfir Aberman, Srinivasa Narasimhan, Jun-Yan Zhu Scaling Knowledge Editing in LLMs to 100,000 Facts with Neural KV Database
Weizhi Fei, Hao Shi, Jing Xu, Jingchen Peng, Jiazheng Li, Jingzhao Zhang, Bo Bai, Wei Han, Zhenyuan Chen, Xueyan Niu Scaling Knowledge Graph Construction Through Synthetic Data Generation and Distillation
Prafulla Kumar Choubey, Xin Su, Man Luo, Xiangyu Peng, Caiming Xiong, Tiep Le, Shachar Rosenman, Vasudev Lal, Phil L Mui, Ricky Ho, Phillip Howard, Chien-Sheng Wu Scaling Large Vision-Language Model RL Training via Efficient Load Balancing
Zerui Wang, Qinghao Hu, Chang Chen, Jiecheng Zhou, Haojie Duanmu, Xingcheng Zhang, Peng Sun, Dahua Lin Scaling Laws and Spectra of Shallow Neural Networks in the Feature Learning Regime
Leonardo Defilippis, Yizhou Xu, Julius Girardin, Vittorio Erba, Emanuele Troiani, Lenka Zdeborová, Bruno Loureiro, Florent Krzakala Scaling Laws for Diffusion Transformers
Zhengyang Liang, Hao He, Ceyuan Yang, Bo Dai Scaling Linear Attention Capacity with Sparse State Expansion
Yuqi Pan, Yongqi An, Zheng Li, Yuhong Chou, Rui-Jie Zhu, Xiaohui Wang, Mingxuan Wang, Jinqiao Wang, Guoqi Li Scaling Multi-Task Bayesian Optimization with Large Language Models
Yimeng Zeng, Natalie Maus, Haydn Thomas Jones, Jeffrey Tao, Fangping Wan, Marcelo Der Torossian Torres, Cesar de la Fuente-Nunez, Ryan Marcus, Osbert Bastani, Jacob R. Gardner Scaling Sequence-to-Sequence Generative Neural Rendering
Shikun Liu, Kam Woh Ng, Wonbong Jang, Jiadong Guo, Junlin Han, Haozhe Liu, Yiannis Douratsos, Juan Camilo Perez, Zijian Zhou, Khanh Chi Phung, Tao Xiang, Juan-Manuel Perez-Rua Scaling Speech Tokenizers with Diffusion Autoencoders
Yuancheng Wang, Zhenyu Tang, Yun Wang, Arthur Hinsvark, Yingru Liu, Yinghao Aaron Li, Kainan Peng, Junyi Ao, Mingbo Ma, Mike Seltzer, Qing He, Xubo Liu Scaling Synthetic Task Generation for Agents via Exploration
Ram Ramrakhya, Andrew Szot, Omar Attia, Bogdan Mazoure, Anh Tuan Nguyen, Yuhao Yang, Zhe Gan, Harsh Agrawal, Alexander T Toshev Scaling up, Speeding up: A Benchmark of Speculative Decoding for Efficient LLM Test-Time Scaling
Shengyin Sun, Yiming Li, Xing Li, Yingzhao Lian, Weizhe Lin, Hui-Ling Zhen, Zhiyuan Yang, Xianzhi Yu, Chen Chen, Mingxuan Yuan, Chen Ma Scaling with Collapse: Efficient and Predictable Training of LLM Families
Shane Bergsma, Bin Claire Zhang, Nolan Simran Dey, Shaheer Muhammad, Gurpreet Gosal, Joel Hestness SceneCOT: Eliciting Grounded Chain-of-Thought Reasoning in 3D Scenes
Xiongkun Linghu, Jiangyong Huang, Ziyu Zhu, Baoxiong Jia, Siyuan Huang Scenethesis: A Language and Vision Agentic Framework for 3D Scene Generation
Lu Ling, Chen-Hsuan Lin, Tsung-Yi Lin, Yifan Ding, Yu Zeng, Yichen Sheng, Yunhao Ge, Ming-Yu Liu, Aniket Bera, Max Li SceneTransporter: Optimal Transport-Guided Compositional Latent Diffusion for Single-Image Structured 3D Scene Generation
Ling Wang, Hao-Xiang Guo, Xinzhou Wang, Fuchun Sun, Kai Sun, Pengkun Liu, Hang Xiao, Zhong Wang, Guangyuan Fu, Eric Li, Yang Liu, Yikai Wang Scheduling Your LLM Reinforcement Learning with Reasoning Trees
Hong Wang, Zhezheng Hao, Jian Luo, Chenxing Wei, Yao Shu, Lei Liu, Cheaterlin, Hande Dong, Jiawei Chen SCI-Verifier: Scientific Verifier with Thinking
Shenghe Zheng, Chenyu Huang, Fangchen Yu, Junchi Yao, Jingqi Ye, Tao Chen, Yun Luo, Ning Ding, Lei Bai, Ganqu Cui, Peng Ye Sci2Pol: Evaluating and Fine-Tuning LLMs on Scientific-to-Policy Brief Generation
Weimin Wu, Alexander C Furnas, Eddie Yang, Gefei Liu, Akhil Pandey Akella, Xuefeng Song, Dashun Wang, Han Liu ScienceBoard: Evaluating Multimodal Autonomous Agents in Realistic Scientific Workflows
Qiushi Sun, Zhoumianze Liu, Chang Ma, Zichen Ding, Fangzhi Xu, Zhangyue Yin, Haiteng Zhao, Zhenyu Wu, Kanzhi Cheng, Zhaoyang Liu, Jianing Wang, Qintong Li, Xiangru Tang, Tianbao Xie, Xiachong Feng, Xiang Li, Ben Kao, Wenhai Wang, Biqing Qi, Lingpeng Kong, Zhiyong Wu SciTS: Scientific Time Series Understanding and Generation with LLMs
Wen Wu, Ziyang Zhang, Liwei Liu, Xuenan Xu, Jimin Zhuang, Ke Fan, Qitan Lv, Junlin Liu, Chen Zhang, Zheqi Yuan, Siyuan Hou, Tianyi Lin, Kai Chen, Bowen Zhou, Chao Zhang Score Distillation Beyond Acceleration: Generative Modeling from Corrupted Data
Yasi Zhang, Tianyu Chen, Zhendong Wang, Ying Nian Wu, Mingyuan Zhou, Oscar Leong Score-Based Greedy Search for Structure Identification of Partially Observed Causal Models
Xinshuai Dong, Ignavier Ng, Haoyue Dai, Jiaqi Sun, Xiangchen Song, Peter Spirtes, Kun Zhang SCRAPL: Scattering Transform with Random Paths for Machine Learning
Christopher Mitcheltree, Vincent Lostanlen, Emmanouil Benetos, Mathieu Lagrange SCRIBES: Web-Scale Script-Based Semi-Structured Data Extraction with Reinforcement Learning
Shicheng Liu, Kai Sun, Lisheng Fu, Xilun Chen, Xinyuan Zhang, Zhaojiang Lin, Rulin Shao, Yue Liu, Anuj Kumar, Wen-tau Yih, Xin Luna Dong SCUBA: Salesforce Computer Use Benchmark
Yutong Dai, Krithika Ramakrishnan, Jing Gu, Matthew Fernandez, Yanqi Luo, Viraj Prabhu, Zhenyu Hu, Silvio Savarese, Caiming Xiong, Zeyuan Chen, Ran Xu Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning
Nikhil Shivakumar Nayak, Krishnateja Killamsetty, Ligong Han, Abhishek Bhandwaldar, Prateek Chanda, Kai Xu, Oleg Silkin, Mustafa Eyceoz, Hao Wang, Aldo Pareja, Akash Srivastava SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models
Thinh Pham, Nguyen Phan Nguyen, Pratibha Zunjare, Weiyuan Chen, Yu-Min Tseng, Tu Vu Search Arena: Analyzing Search-Augmented LLMs
Mihran Miroyan, Tsung-Han Wu, Logan King, Tianle Li, Jiayi Pan, Xinyan Hu, Wei-Lin Chiang, Anastasios Nikolas Angelopoulos, Trevor Darrell, Narges Norouzi, Joseph E. Gonzalez Search Self-Play: Pushing the Frontier of Agent Capability Without Supervision
Hongliang Lu, Yuhang Wen, Pengyu Cheng, Ruijin Ding, Jiaqi Guo, Haotian Xu, Chutian Wang, Haonan Chen, Xiaoxi Jiang, Guanjunjiang SecP-Tuning: Efficient Privacy-Preserving Prompt Tuning for Large Language Models via MPC
Jinglong Luo, Zhuo Zhang, Yehong Zhang, Shiyu Liu, Ye Dong, Hui Wang, Yue Yu, Xun Zhou, Zenglin Xu Secure Inference for Diffusion Models via Unconditional Scores
Jaeyun Song, Geondo Park, Uigyu Kim, Joonhyung Park, Eunho Yang SEED-SET: Scalable Evolving Experimental Design for System-Level Ethical Testing
Anjali Parashar, Yingke Li, Eric Yang Yu, Fei Chen, James Neidhoefer, Devesh Upadhyay, Chuchu Fan SeeDNorm: Self-Rescaled Dynamic Normalization
Wenrui Cai, Defa Zhu, Siyuan Qiao, Qingjie Liu, Qiyang Min SeedVR2: One-Step Video Restoration via Diffusion Adversarial Post-Training
Jianyi Wang, Shanchuan Lin, Zhijie Lin, Yuxi Ren, Meng Wei, Zongsheng Yue, Shangchen Zhou, Hao Chen, Yang Zhao, Ceyuan Yang, Xuefeng Xiao, Chen Change Loy, Lu Jiang Seeing Across Views: Benchmarking Spatial Reasoning of Vision-Language Models in Robotic Scenes
ZhiYuan Feng, Zhaolu Kang, Qijie Wang, Zhiying Du, Jiongrui Yan, Shi Shubin, Chengbo Yuan, Huizhi Liang, Yu Deng, Qixiu Li, Rushuai Yang, Ruichuan An, Leqi Zheng, Weijie Wang, Shuang Chen, Sicheng Xu, Yaobo Liang, Jiaolong Yang, Baining Guo Seeing but Not Believing: Probing the Disconnect Between Visual Attention and Answer Correctness in VLMs
Zhining Liu, Ziyi Chen, Hui Liu, Chen Luo, Xianfeng Tang, Suhang Wang, Jingying Zeng, Zhenwei Dai, Zhan Shi, Tianxin Wei, Hanqing Lu, Benoit Dumoulin, Hanghang Tong Seeing Through the Brain: New Insights from Decoding Visual Stimuli with fMRI
Zheng Huang, Enpei Zhang, Weikang Qiu, Yinghao Cai, Carl Yang, Elynn Chen, Xiang Zhang, Rex Ying, Dawei Zhou, Yujun Yan Seeing What’s Wrong: A Trajectory-Guided Approach to Caption Error Detection
Gabriel Afriat, Ryan Lucas, Xiang Meng, Yufang Hou, Yada Zhu, Rahul Mazumder Seeing, Listening, Remembering, and Reasoning: A Multimodal Agent with Long-Term Memory
Lin Long, Yichen He, Wentao Ye, Yiyuan Pan, Yuan Lin, Hang Li, Junbo Zhao, Wei Li Seesaw: Accelerating Training by Balancing Batch Size and Learning Rate Scheduling
Alexandru Meterez, Depen Morwani, Jingfeng Wu, Costin-Andrei Oncescu, Cengiz Pehlevan, Sham M. Kakade Selection, Reflection and Self-Refinement: Revisit Reasoning Tasks via a Causal Lens
Yunlong Deng, Boyang Sun, Yan Li, Zeyu Tang, Lingjing Kong, Kun Zhang, Guangyi Chen Selective Expert Guidance for Effective and Diverse Exploration in Reinforcement Learning of LLMs
Zishang Jiang, Jinyi Han, Tingyun Li, Xinyi Wang, Sihang Jiang, Zhaoqian Dai, Ma Shuguang, Fei Yu, Jiaqing Liang, Yanghua Xiao Selective Rotary Position Embedding
Sajad Movahedi, Timur Carstensen, Arshia Afzal, Frank Hutter, Antonio Orvieto, Volkan Cevher Self-Aligned Reward: Towards Effective and Efficient Reasoners
Peixuan Han, Adit Krishnan, Gerald Friedland, Jiaxuan You, Luyang Kong Self-Destructive Language Models
Yuhui Wang, Rongyi Zhu, Ting Wang Self-Evolving Vision-Language Models for Image Quality Assessment via Voting and Ranking
Wen Wen, Tianwu Zhi, Kanglong Fan, Yang Li, Xinge Peng, Yabin Zhang, Yiting Liao, Junlin Li, Li Zhang Self-Forcing++: Towards Minute-Scale High-Quality Video Generation
Justin Cui, Jie Wu, Ming Li, Tao Yang, Xiaojie Li, Rui Wang, Andrew Bai, Yuanhao Ban, Cho-Jui Hsieh Self-Improving Loops for Visual Robotic Planning
Calvin Luo, Zilai Zeng, Mingxi Jia, Yilun Du, Chen Sun Self-Improving Vision-Language-Action Models with Data Generation via Residual RL
Wenli Xiao, Haotian Lin, Andy Peng, Haoru Xue, Tairan He, Zhengyi Luo, Yuqi Xie, Fengyuan Hu, Linxi Fan, Guanya Shi, Yuke Zhu Self-Refining Vision Language Model for Robotic Failure Detection and Reasoning
Carl Qi, Xiaojie Wang, Silong Yong, Stephen Sheng, Huitan Mao, Sriram Srinivasan, Manikantan Nambi, Amy Zhang, Yesh Dattatreya Self-Speculative Masked Diffusions
Andrew Campbell, Valentin De Bortoli, Jiaxin Shi, Arnaud Doucet Self-Supervised Learning from Structural Invariance
Yipeng Zhang, Hafez Ghaemi, Jungyoon Lee, Shahab Bakhtiari, Eilif B. Muller, Laurent Charlin SelfReflect: Can LLMs Communicate Their Internal Answer Distribution?
Michael Kirchhof, Luca Füger, Adam Golinski, Eeshan Gunesh Dhekane, Arno Blaas, Seong Joon Oh, Sinead Williamson SelvaBox: A High‑resolution Dataset for Tropical Tree Crown Detection
Hugo Baudchon, Arthur Ouaknine, Martin Weiss, Mélisande Teng, Thomas R. Walla, Antoine Caron-Guay, Christopher Pal, Etienne Laliberté SEMA: Simple yet Effective Learning for Multi-Turn Jailbreak Attacks
Mingqian Feng, Xiaodong Liu, Weiwei Yang, Jialin Song, Xuekai Zhu, Chenliang Xu, Jianfeng Gao Semantic Regexes: Auto-Interpreting LLM Features with a Structured Language
Angie Boggust, Donghao Ren, Yannick Assogba, Dominik Moritz, Arvind Satyanarayan, Fred Hohman Semantic Visual Anomaly Detection and Reasoning in AI-Generated Images
Chuangchuang Tan, Xiang Ming, Jinglu Wang, Renshuai Tao, Bin Li, Yunchao Wei, Yao Zhao, Yan Lu Semantic-Aware Wasserstein Policy Regularization for Large Language Model Alignment
Byeonghu Na, Hyungho Na, Yeongmin Kim, Suhyeon Jo, HeeSun Bae, Mina Kang, Il-chul Moon Semi-Parametric Contextual Pricing with General Smoothness
Yuxuan Han, Xiaocong Xu, Yuxiao Wen, Yanjun Han, Ilan Lobel, Zhengyuan Zhou Semi-Supervised Preference Optimization with Limited Feedback
Seonggyun Lee, Sungjun Lim, Seojin Park, Soeun Cheon, Kyungwoo Song Seq vs Seq: An Open Suite of Paired Encoders and Decoders
Orion Weller, Kathryn Ricci, Marc Marone, Antoine Chaffin, Dawn Lawrie, Benjamin Van Durme Sequential Parallel Duality in Prefix Scannable Models
Morris Yau, Sharut Gupta, Valerie Engelmayer, Kazuki Irie, Stefanie Jegelka, Jacob Andreas SERUM: Simple, Efficient, Robust, and Unifying Marking for Diffusion-Based Image Generation
Jan Kociszewski, Hubert Jastrzębski, Tymoteusz Stępkowski, Filip Manijak, Krzysztof Rojek, Franziska Boenisch, Adam Dziedzic SFT Doesn’t Always Hurt General Capabilities: Revisiting Domain-Specific Fine-Tuning in LLMs
Jiacheng Lin, Zhongruo Wang, Kun Qian, Tian Wang, Arvind Srinivasan, Hansi Zeng, Ruochen Jiao, Xie Zhou, Jiri Gesi, Dakuo Wang, Yufan Guo, Kai Zhong, Weiqi Zhang, Sujay Sanghavi, Changyou Chen, Hyokun Yun, Lihong Li ShapeGen4D: Towards High Quality 4D Shape Generation from Videos
Jiraphon Yenphraphai, Ashkan Mirzaei, Jianqi Chen, Jiaxu Zou, Sergey Tulyakov, Raymond A. Yeh, Peter Wonka, Chaoyang Wang Sharing State Between Prompts and Programs
Ellie Y Cheng, Logan Weber, Tian Jin, Michael Carbin Sharp Monocular View Synthesis in Less than a Second
Lars Mescheder, Wei Dong, Shiwei Li, Xuyang Bai, Marcel Santos, Peiyun Hu, Bruno Lecouat, Mingmin Zhen, Amaël Delaunoy, Tian Fang, Yanghai Tsin, Stephan Richter, Vladlen Koltun Sheaves Reloaded: A Direction Awakening
Stefano Fiorini, Hakan Aktas, Iulia Duta, Pietro Morerio, Alessio Del Bue, Pietro Lio, Stefano Coniglio Shop-R1: Rewarding LLMs to Simulate Human Behavior in Online Shopping via Reinforcement Learning
Yimeng Zhang, Tian Wang, Jiri Gesi, Ziyi Wang, Yuxuan Lu, Jiacheng Lin, Simon Sinong Zhan, Vianne R. Gao, Ruochen Jiao, Junze Liu, Kun Qian, Yuxin Tang, Ran Xue, Houyu Zhang, Qingjun Cui, Yufan Guo, Dakuo Wang Short Window Attention Enables Long-Term Memorization
Loïc Cabannes, Maximilian Beck, Maria Lomeli, Gergely Szilvasy, Matthijs Douze, Jade Copet, Pierre-Emmanuel Mazare, Gabriel Synnaeve, Herve Jegou Should We Still Pretrain Encoders with Masked Language Modeling?
Hippolyte Gisserot-Boukhlef, Nicolas Boizard, Manuel Faysse, Duarte Miguel Alves, Emmanuel Malherbe, Andre Martins, Celine Hudelot, Pierre Colombo Shuffle-R1: Efficient RL Framework for Multimodal Large Language Models via Data-Centric Dynamic Shuffle
Linghao Zhu, Yiran Guan, Dingkang Liang, Jianzhong Ju, Zhenbo Luo, Bin Qin, Jian Luan, Yuliang Liu, Xiang Bai Shuffling the Data, Extrapolating the Step: Sharper Bias in Constant Step-Size SGD
Konstantinos Emmanouilidis, Emmanouil-Vasileios Vlatakis-Gkaragkounis, Rene Vidal SIGMA-Gen: Structure and Identity Guided Multi-Subject Assembly for Image Generation
Oindrila Saha, Vojtech Krs, Radomir Mech, Subhransu Maji, Kevin James Blackburn-Matzen, Matheus Gadelha SIGMark: Scalable In-Generation Watermark with Blind Extraction for Video Diffusion
Xinjie Zhu, Zijing Zhao, Hui Jin, Qingxiao Guo, Yilong Ma, Yunhao Wang, Xiaobing Guo, Weifeng Zhang Sign-SGD via Parameter-Free Optimization
Daniil Medyakov, Stanko Sergey, Gleb Molodtsov, Philip Zmushko, Evseev Grigoriy, Egor Petrov, Aleksandr Beznosikov Signal Structure-Aware Gaussian Splatting for Large-Scale Scene Reconstruction
Weiyi Xue, Fan Lu, Chi Zhang, Tianhang Wang, Sanqing Qu, Zehan Zheng, Boyuan Zheng, Junqiao Zhao, Guang Chen Silent Leaks: Implicit Knowledge Extraction Attack on RAG Systems
Yuhao Wang, Wenjie Qu, Shengfang Zhai, Yanze Jiang, Liu Zichen, Yue Liu, Yinpeng Dong, Jiaheng Zhang SIM-CoT: Supervised Implicit Chain-of-Thought
Xilin Wei, Xiaoran Liu, Yuhang Zang, Xiaoyi Dong, Yuhang Cao, Jiaqi Wang, Xipeng Qiu, Dahua Lin SiMO: Single-Modality-Operable Multimodal Collaborative Perception
Jiageng Wen, Shengjie Zhao, Bing Li, Jiafeng Huang, Kenan Ye, Hao Deng SimpleFold: Folding Proteins Is Simpler than You Think
Yuyang Wang, Jiarui Lu, Navdeep Jaitly, Joshua M. Susskind, Miguel Ángel Bautista SimpleGVR: A Simple Baseline for Latent-Cascaded Generative Video Super-Resolution
Liangbin Xie, Yu Li, Shian Du, Menghan Xia, Xintao Wang, Fanghua Yu, Ziyan Chen, Pengfei Wan, Jiantao Zhou, Chao Dong SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning
Haozhan Li, Yuxin Zuo, Jiale Yu, Yuhao Zhang, Yang Zhaohui, Kaiyan Zhang, Xuekai Zhu, Yuchen Zhang, Tianxing Chen, Ganqu Cui, Dehui Wang, Dingxiang Luo, Yuchen Fan, Youbang Sun, Jia Zeng, Jiangmiao Pang, Shanghang Zhang, Yu Wang, Yao Mu, Bowen Zhou, Ning Ding Simplicial Embeddings Improve Sample Efficiency in Actor–Critic Agents
Johan Obando-Ceron, Walter Mayor, Samuel Lavoie, Scott Fujimoto, Aaron Courville, Pablo Samuel Castro SimULi: Real-Time LiDAR and Camera Simulation with Unscented Transforms
Haithem Turki, Qi Wu, Xin Kang, Janick Martinez Esturo, Shengyu Huang, Ruilong Li, Zan Gojcic, Riccardo de Lutio SiNGER: A Clearer Voice Distills Vision Transformers Further
Geunhyeok Yu, Sunjae Jeong, Yoonyoung Choi, Jaeseung Kim, Hyoseok Hwang SIPDO: Closed-Loop Prompt Optimization via Synthetic Data Feedback
Yaoning Yu, Ye Yu, Peiyan Zhang, Kai Wei, Haojing Luo, Haohan Wang SK2Decompile: LLM-Based Two-Phase Binary Decompilation from Skeleton to Skin
Hanzhuo Tan, Weihao Li, Xiaolong Tian, Siyi Wang, Jiaming Liu, Jing Li, Yuqun Zhang SketchEvo: Leveraging Drawing Dynamics for Enhanced Image Synthesis
Zhixin Feng, Runan Yin, Lan Yang, Kaiyue Pang, Ke Li, Honggang Zhang, Yi-Zhe Song Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning
Patrik Reizinger, Bálint Mucsányi, Siyuan Guo, Benjamin Eysenbach, Bernhard Schölkopf, Wieland Brendel SkillFactory: Self-Distillation for Learning Cognitive Behaviors
Zayne Rea Sprague, Jack Lu, Manya Wadhwa, Sedrick Keh, Mengye Ren, Greg Durrett SkyEvents: A Large-Scale Event-Enhanced UAV Dataset for Robust 3D Scene Reconstruction
Wenzong Ma, Zhuoxiao Li, Jinjing Zhu, Tongyan Hua, Kanghao Chen, Zidong Cao, Da Yang, Peilun Shi, Yibo Zhou, Wufan Zhao, Hui Xiong Skywork-Reward-V2: Scaling Preference Data Curation via Human-AI Synergy
Chris Yuhao Liu, Liang Zeng, Yuzhen Xiao, Jujie He, Jiacai Liu, Chaojie Wang, Rui Yan, Wei Shen, Fuxiang Zhang, Jiacheng Xu, Yang Liu SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse–Linear Attention
Jintao Zhang, Haoxu Wang, Kai Jiang, Shuo Yang, Kaiwen Zheng, Haocheng Xi, Ziteng Wang, Hongzhou Zhu, Min Zhao, Ion Stoica, Joseph E. Gonzalez, Jianfei Chen, Jun Zhu SLAP: Shortcut Learning for Abstract Planning
Y. Isabel Liu, Bowen Li, Benjamin Eysenbach, Tom Silver Sleep2vec: Unified Cross-Modal Alignment for Heterogeneous Nocturnal Biosignals
Weixuan Yuan, Zengrui Jin, Yichen Wang, Donglin Xie, Ziyi Ye, Chao Zhang, Xuesong Chen SliderQuant: Accurate Post-Training Quantization for LLMs
Shigeng Wang, Chao Li, Yangyuxuan Kang, Jiawei Fan, Zhonghong Ou, Anbang Yao SLM-MUX: Orchestrating Small Language Models for Reasoning
Chenyu Wang, Zishen Wan, Hao Kang, Emma Chen, Zhiqiang Xie, Tushar Krishna, Vijay Janapa Reddi, Yilun Du Slow-Fast Policy Optimization: Reposition-Before-Update for LLM Reasoning
Ziyan Wang, Zheng Wang, Xingwei Qu, Qi Cheng, Jie Fu, Shengpu Tang, Minjia Zhang, Xiaoming Huo SMAN-Bench: A Cross-System Benchmark for Mobile Agents Under Single- and Multi-Path, Ambiguous, and Noisy Tasks
Weikai Xu, Zhizheng Jiang, Yuxuan Liu, Pengzhi Gao, Wei Liu, Jian Luan, Yunxin Liu, Yuanchun Li, Bin Wang, Bo An SMixer: Rethinking Efficient-Training and Event-Driven SNNs
Yijie Lu, Xinhao Luo, Yixing Zhang, Zhiyan Wang, Wentao Li, YanhanWang, Zhi Liu, Zhaokun Zhou, Guoqi Li SMOTE and Mirrors: Exposing Privacy Leakage from Synthetic Minority Oversampling
Georgi Ganev, MohammadReza Nazari, Rees Davison, Amirhassan Fallah Dizche, Xinmin Wu, Ralph Abbey, Jorge G Silva, Emiliano De Cristofaro Snaphard Contrast Learning
Changpu Meng, Jie Yang, Wanqing Li, Yi Guo Social Agents: Collective Intelligence Improves LLM Predictions
Aanisha Bhattacharyya, Abhilekh Borah, Yaman Kumar Singla, Rajiv Ratn Shah, Changyou Chen, Balaji Krishnamurthy Soft Quality-Diversity Optimization
Saeed Hedayatian, Stefanos Nikolaidis Soft Tokens, Hard Truths
Natasha Butt, Ariel Kwiatkowski, Ismail Labiad, Julia Kempe, Yann Ollivier Soft-Masked Diffusion Language Models
Michael Hersche, Samuel Moor-Smith, Thomas Hofmann, Abbas Rahimi SoftMax Is Not Enough (for Adaptive Conformal Classification)
Navid Akhavan Attar, Hesam Asadollahzadeh, Ling Luo, Uwe Aickelin SoftMax Transformers Are Turing-Complete
Hongjian Jiang, Michael Hahn, Georg Zetzsche, Anthony Widjaja Lin SoLoPO: Unlocking Long-Context Capabilities in LLMs via Short-to-Long Preference Optimization
Huashan Sun, Shengyi Liao, Yansen Han, Yu Bai, Yang Gao, Cheng Fu, Weizhou Shen, Fanqi Wan, Ming Yan, Ji Zhang, Fei Huang Some Neural Networks Inherently Preserve Subspace Clustering Structure
Karan Vikyath Veeranna Rupashree, Siddharth Baskar, Daniel L. Pimentel-Alarcón SONA: Learning Conditional, Unconditional, and Matching-Aware Discriminator
Yuhta Takida, Satoshi Hayakawa, Takashi Shibuya, Masaaki Imaizumi, Naoki Murata, Bac Nguyen, Toshimitsu Uesaka, Chieh-Hsin Lai, Yuki Mitsufuji SONATA: Synergistic Coreset Informed Adaptive Temporal Tensor Factorization
Maolin Wang, Zhiqi Li, Binhao Wang, Xuhui Chen, Tianshuo Wei, Wanyu Wang, Shikai Fang, Ruocheng Guo, Zenglin Xu, Xiangyu Zhao SongEcho: Towards Cover Song Generation via Instance-Adaptive Element-Wise Linear Modulation
Sifei Li, Yang Li, Zizhou Wang, Yuxin Zhang, Fuzhang Wu, Oliver Deussen, Tong-Yee Lee, Weiming Dong SONIC: Spectral Oriented Neural Invariant Convolutions
Gijs Joppe Moens, Regina Beets-Tan, Eduardo H P Pooch SophiaVL-R1: Reinforcing MLLMs Reasoning with Thinking Reward
Kaixuan Fan, Kaituo Feng, Haoming Lyu, Dongzhan Zhou, Xiangyu Yue SoSBench: Benchmarking Safety Alignment on Six Scientific Domains
Fengqing Jiang, Fengbo Ma, Zhangchen Xu, Yuetai Li, Zixin Rao, Bhaskar Ramasubramanian, Luyao Niu, Bo Li, Xianyan Chen, Zhen Xiang, Radha Poovendran Source-Guided Flow Matching
Zifan Wang, Alice Harting, Matthieu Barreau, Michael M. Zavlanos, Karl Henrik Johansson SP-VLA: A Joint Model Scheduling and Token Pruning Approach for VLA Model Acceleration
Ye Li, Yuan Meng, Zewen Sun, Kangye Ji, Chen Tang, Jiajun Fan, Xinzhu Ma, Shu-Tao Xia, Zhi Wang, Wenwu Zhu SpaCE-10: A Comprehensive Benchmark for Multimodal Large Language Models in Compositional Spatial Intelligence
Ziyang Gong, Wenhao Li, Xianzheng Ma, Songyuan Li, Zhaokai Wang, Songze Li, Jiayi Ji, Xue Yang, Gen Luo, Junchi Yan, Rongrong Ji SpaceControl: Introducing Test-Time Spatial Control to 3D Generative Modeling
Elisabetta Fedele, Francis Engelmann, Ian Huang, Or Litany, Marc Pollefeys, Leonidas Guibas SPACeR: Self-Play Anchoring with Centralized Reference Models
Wei-Jer Chang, Akshay Rangesh, Kevin Joseph, Matthew Strong, Masayoshi Tomizuka, Yihan Hu, Wei Zhan Sparse Attention Adaptation for Long Reasoning
Yizhao Gao, Shuming Guo, Shijie Cao, Yuqing Xia, Yu Cheng, Lei Wang, Lingxiao Ma, Yutao Sun, Tianzhu Ye, Li Dong, Hayden Kwok-Hay So, Yu Hua, Ting Cao, Fan Yang, Mao Yang Sparse but Critical: A Token-Level Analysis of Distributional Shifts in RLVR Fine-Tuning of LLMs
Haoming Meng, Kexin Huang, Shaohang Wei, Chiyu Ma, Shuo Yang, Xue Wang, Guoyin Wang, Bolin Ding, Jingren Zhou SparseD: Sparse Attention for Diffusion Language Models
Zeqing Wang, Gongfan Fang, Xinyin Ma, Xingyi Yang, Xinchao Wang Sparsity Forcing: Reinforcing Token Sparsity of MLLMs
Feng Chen, Yefei He, Lequan Lin, Jing Liu, Chenhui Gou, Bohan Zhuang, Qi Wu Spatial Forcing: Implicit Spatial Representation Alignment for Vision-Language-Action Model
Fuhao Li, Wenxuan Song, Han Zhao, Jingbo Wang, Pengxiang Ding, Donglin Wang, Long Zeng, Haoang Li Spatial Reasoning with Vision-Language Models in Ego-Centric Multi-View Scenes
Mohsen Gholami, Ahmad Rezaei, Zhou Weimin, Sitong Mao, Shunbo Zhou, Yong Zhang, Mohammad Akbari Spatial-DISE: A Unified Benchmark for Evaluating Spatial Reasoning in Vision-Language Models
Xinmiao Huang, Qisong He, Zhenglin Huang, Boxuan Wang, Zhuoyun Li, Guangliang Cheng, Yi Dong, Xiaowei Huang SpatiaLab: Can Vision–Language Models Perform Spatial Reasoning in the Wild?
Azmine Toushik Wasi, Wahid Faisal, Abdur Rahman, Mahfuz Ahmed Anik, Munem Shahriar, Mohsin Mahmud Topu, Sadia Tasnim Meem, Rahatun Nesa Priti, Sabrina Afroz Mitu, Md. Iqramul Hoque, Shahriyar Zaman Ridoy, Mohammed Eunus Ali, Majd Hawasly, Mohammad Raza, Md Rizwan Parvez SpatialHand: Generative Object Manipulation from 3D Prespective
Zehan Wang, Jialei Wang, Siyu Chen, Ziang Zhang, Luping Liu, Xize Cheng, Kaihang Pan, Hengshuang Zhao, Zhou Zhao SpatialLadder: Progressive Training for Spatial Reasoning in Vision-Language Models
Hongxing Li, Dingming Li, Zixuan Wang, Yuchen Yan, Hang Wu, Wenqi Zhang, Yongliang Shen, Weiming Lu, Jun Xiao, Yueting Zhuang Spatially Guided Training for Vision-Language-Action Model
Jinhui Ye, Fangjing Wang, Ning Gao, Junqiu Yu, Zhu Yangkun, Bin Wang, Jinyu Zhang, Weiyang Jin, Yanwei Fu, Feng Zheng, Yilun Chen, Jiangmiao Pang SpatialViz-Bench: A Cognitively-Grounded Benchmark for Diagnosing Spatial Visualization in MLLMs
Siting Wang, Minnan Pei, Luoyang Sun, Cheng Deng, Yuchen Li, Kun Shao, Zheng Tian, Haifeng Zhang, Jun Wang SpeakerVid-5m: A Large-Scale High-Quality Dataset for Audio-Visual Dyadic Interactive Human Generation
Youliang Zhang, Zhaoyang Li, Duomin Wang, Jiahe Zhang, Deyu Zhou, Zixin Yin, Xili Dai, Gang Yu, Xiu Li Spectral Attention Steering for Prompt Highlighting
Weixian Waylon Li, Yuchen Niu, Yongxin Yang, Keshuang Li, Tiejun Ma, Shay B Cohen Spectral-Guided Physical Dynamics Distillation
Youjin Kim, Dagyeong Na, Jae Yong Lee, Junseok Kwon Spectrum Tuning: Post-Training for Distributional Coverage and In-Context Steerability
Taylor Sorensen, Benjamin Newman, Jared Moore, Chan Young Park, Jillian Fisher, Niloofar Mireshghallah, Liwei Jiang, Yejin Choi Speculative Actions: A Lossless Framework for Faster AI Agents
Naimeng Ye, Arnav Ahuja, Georgios Liargkovas, Yunan Lu, Kostis Kaffes, Tianyi Peng Speculative Speculative Decoding
Tanishq Kumar, Tri Dao, Avner May Speech-to-LaTeX: New Models and Datasets for Converting Spoken Equations and Sentences
Dmitrii Korzh, Dmitrii Tarasov, Artyom Iudin, Elvir Karimov, Matvey Skripkin, Nikita Kuzmin, Andrey Kuznetsov, Oleg Rogov, Ivan Oseledets SpeechJudge: Towards Human-Level Judgment for Speech Naturalness
Xueyao Zhang, Chaoren Wang, Huan Liao, Ziniu Li, Yuancheng Wang, Li Wang, Dongya Jia, Yuanzhe Chen, Xiulin Li, Zhuo Chen, Zhizheng Wu SpeechOp: Inference-Time Task Composition for Generative Speech Processing
Justin Lovelace, Rithesh Kumar, Jiaqi Su, Ke Chen, Kilian Q Weinberger, Zeyu Jin SPEED: Scalable, Precise, and Efficient Concept Erasure for Diffusion Models
Ouxiang Li, Yuan Wang, Xinting Hu, Houcheng Jiang, Tao Liang, Yanbin Hao, Guojun Ma, Fuli Feng SPELL: Self-Play Reinforcement Learning for Evolving Long-Context Language Models
Ziyi Yang, Weizhou Shen, Chenliang Li, Ruijun Chen, Fanqi Wan, Ming Yan, Xiaojun Quan, Fei Huang SPG: Sandwiched Policy Gradient for Masked Diffusion Language Models
Chenyu Wang, Paria Rashidinejad, DiJia Su, Song Jiang, Sid Wang, Siyan Zhao, Cai Zhou, Shannon Zejiang Shen, Feiyu Chen, Tommi Jaakkola, Yuandong Tian, Bo Liu SPICE: Submodular Penalized Information–Conflict Selection for Efficient Large Language Model Training
Powei Chang, Jinpeng Zhang, Bowen Chen, Chenyu Wang, Chenlu Guo, Yixing Zhang, Yukang Gao, JianXiang Xiang, Yue Gao, Chaoqun Sun, Yiyi Chen, Dongying Kong Spike-Based Digital Brain: A Novel Fundamental Model for Brain Activity Analysis
Shaolong Wei, Qiyu Sun, Mingliang Wang, Liang Sun, Weiping Ding, Jiashuang Huang SPIKE-RL: Video-LLMs Meet Bayesian Surprise
Sahithya Ravi, Aditya Chinchure, Raymond T. Ng, Leonid Sigal, Vered Shwartz SpikePingpong: Spike Vision-Based Fast-Slow Pingpong Robot System
Hao Wang, Chengkai Hou, Xianglong Li, Yankai Fu, Chenxuan Li, Ning Chen, Gaole Dai, Jiaming Liu, Tiejun Huang, Shanghang Zhang SpikeStereoNet: A Brain-Inspired Framework for Stereo Depth Estimation from Spike Streams
Zhuoheng Gao, Yihao Li, Jiyao Zhang, Rui Zhao, Tong Wu, Hao Tang, Zhaofei Yu, Hao Dong, Guozhang Chen, Tiejun Huang Spiking Discrepancy Transformer for Point Cloud Analysis
Yijie Lu, Zhiyi Pan, Renrui Zhang, Yanhao Jia, Ronggang Wang, Zhaokun Zhou Spilled Energy in Large Language Models
Adrian Robert Minut, Hazem Dewidar, Iacopo Masi SpineBench: A Clinically Salient, Level-Aware Benchmark Powered by the SpineMed-450k Corpus
Ming Zhao, Wenhui Dong, Yang Zhang, XiangZheng, Zhonghao Zhang, Zian Zhou, Yunzhi Guan, Liukun Xu, Wei Peng, Zhaoyang Gong, Zhicheng Zhang, Dachuan Li, Xiaosheng Ma, Yuli Ma, Jianing Ni, Changjiang Jiang, Lixia Tian, Chen Qixin, Xia Kaishun, Pingping Liu, Tongshun Zhang, ZhiqiangLiu, Zhongan Bi, Chenyang Si, Tiansheng Sun, Caifeng Shan Spinning Straw into Gold: Relabeling LLM Agent Trajectories in Hindsight for Successful Demonstrations
Zichao Li, Gang Wu, Zichao Wang, Ruiyi Zhang, Wanrong Zhu, Ryan A. Rossi, Vlad I Morariu, Jihyung Kil SPIRAL: Self-Play on Zero-Sum Games Incentivizes Reasoning via Multi-Agent Multi-Turn Reinforcement Learning
Bo Liu, Simon Yu, Zichen Liu, Leon Guertler, Penghui Qi, Daniel Balcells, Mickel Liu, Cheston Tan, Weiyan Shi, Min Lin, Wee Sun Lee, Natasha Jaques Splat Feature Solver
Butian Xiong, Rong Liu, Kenneth Xu, Meida Chen, Andrew Feng Splat Regression Models
Mara Daniels, Philippe Rigollet Splat the Net: Radiance Fields with Splattable Neural Primitives
Xilong Zhou, Bao-Huy Nguyen, Loïc Magne, Vladislav Golyanik, Thomas Leimkuehler, Christian Theobalt SportR: A Benchmark for Multimodal Large Language Model Reasoning in Sports
Haotian Xia, Haonan Ge, Junbo Zou, Hyun Woo Choi, Xuebin Zhang, Danny Suradja, Botao Rui, Ethan Tran, Wendy Jin, Zhen Ye, Xiyang Lin, Christopher Lai, Shengjie Zhang, Junwen Miao, Shichao Chen, Rhys Tracy, Vicente Ordonez, Weining Shen, Hanjie Chen SpotIt: Evaluating Text-to-SQL Evaluation with Formal Verification
Rocky Klopfenstein, Yang He, Andrew Tremante, Yuepeng Wang, Nina Narodytska, Haoze Wu Spotlight on Token Perception for Multimodal Reinforcement Learning
Siyuan Huang, Xiaoye Qu, Yafu Li, Yun Luo, Zefeng He, Daizong Liu, Yu Cheng SPRINT: Sparse-Dense Residual Fusion for Efficient Diffusion Transformers
Dogyun Park, Moayed Haji-Ali, Yanyu Li, Willi Menapace, Sergey Tulyakov, Hyunwoo J. Kim, Aliaksandr Siarohin, Anil Kag SPWOOD: Sparse Partial Weakly-Supervised Oriented Object Detection
Wei Zhang, Xiang Liu, Ningjing Liu, Mingxin Liu, Wei Liao, Chunyan Xu, Xue Yang Squeeze the Soaked Sponge: Efficient Off-Policy RFT for Large Language Model
Jing Liang, Jinyi Liu, Yi Ma, Hongyao Tang, Yan Zheng, Shuyue Hu, Lei Bai, Jianye Hao SRFT: A Single-Stage Method with Supervised and Reinforcement Fine-Tuning for Reasoning
Yuqian Fu, Tinghong Chen, Jiajun Chai, Xihuai Wang, Songjun Tu, Guojun Yin, Wei Lin, Qichao Zhang, Yuanheng Zhu, Dongbin Zhao SSDi8: Accurate and Efficient 8-Bit Quantization for State Space Duality
Hyunwoo Kim, Byoungchan Ko, Minseok Kang, Minwoo Kim, Dongjin Lee, Jaehoon Lee, Sungroh Yoon, Dahuin Jung ssToken: Self-Modulated and Semantic-Aware Token Selection for LLM Fine-Tuning
Xiaohan Qin, Xiaoxing Wang, Ning Liao, Cancheng Zhang, Xiangdong Zhang, Mingquan Feng, Jingzhi Wang, Junchi Yan Stability Under Scrutiny: Benchmarking Representation Paradigms for Online HD Mapping
Hao Shan, Ruikai Li, Han Jiang, Yizhe Fan, Ziyang Yan, Bohan Li, Xiaoshuai Hao, Hao Zhao, Zhiyong Cui, Yilong Ren, Haiyang Yu Stable and Scalable Deep Predictive Coding Networks with Meta-Prediction Errors
Myoung Hoon Ha, Hyunjun Kim, Yoondo Sung, Youngha Jo, Min S. Kang, Sang Wan Lee StableToken: A Noise-Robust Semantic Speech Tokenizer for Resilient SpeechLLMs
Yuhan Song, Linhao Zhang, Chuhan Wu, Aiwei Liu, Wei Jia, Houfeng Wang, Zhou Xiao STAR-Bench: Probing Deep Spatio-Temporal Reasoning as Audio 4D Intelligence
Zihan Liu, Zhikang Niu, Qiuyang Xiao, Zhisheng Zheng, Ruoqi Yuan, Yuhang Zang, Yuhang Cao, Xiaoyi Dong, Jianze Liang, Xie Chen, Leilei Sun, Dahua Lin, Jiaqi Wang STARK: Strategic Team of Agents for Refining Kernels
Juncheng Dong, Yang Yang, Tao Liu, Yang Wang, Feng Qi, Vahid Tarokh, Kaushik Rangadurai, Shuang Yang STAT: Skill-Targeted Adaptive Training
Yinghui He, Abhishek Panigrahi, Yong Lin, Sanjeev Arora Statistical and Structural Identifiability in Representation Learning
Walter Nelson, Marco Fumero, Theofanis Karaletsos, Francesco Locatello Steer Away from Mode Collisions: Improving Composition in Diffusion Models
Debottam Dutta, Jianchong Chen, Rajalaxmi Rajagopalan, Yu-Lin Wei, Romit Roy Choudhury Steerable Adversarial Scenario Generation Through Test-Time Preference Alignment
Tong Nie, Yuewen Mei, Yihong Tang, Junlin He, Jie Sun, Haotian Shi, Wei Ma, Jian Sun Steering Autoregressive Music Generation with Recursive Feature Machines
Daniel Zhao, Daniel Beaglehole, Julian McAuley, Taylor Berg-Kirkpatrick, Zachary Novack Steering Diffusion Models Towards Credible Content Recommendation
Zhuo Cai, Shoujin Wang, Jin Li, Peilin Zhou, Victor W. Chu, Fang Chen, Tianqing Zhu, Charu C. Aggarwal Steering MoE LLMs via Expert (De)Activation
Mohsen Fayyaz, Ali Modarressi, Hanieh Deilamsalehy, Franck Dernoncourt, Ryan A. Rossi, Trung Bui, Hinrich Schuetze, Nanyun Peng SteinsGate: Adding Causality to Diffusions for Long Video Generation via Path Integral
Yufei Huang, Liangyu Yuan, Changxi Chi, Yunfan Liu, Cheng Tan, Siyuan Li, Jingbo Zhou, Haitao Lin, Chang Yu, Stan Z. Li Stem: Scaling Transformers with Embedding Modules
Ranajoy Sadhukhan, Sheng Cao, Harry Dong, Changsheng Zhao, Attiano Purpura-Pontoniere, Yuandong Tian, Zechun Liu, Beidi Chen STITCH: Simultaneous Thinking and Talking with Chunked Reasoning for Spoken Language Models
Cheng-Han Chiang, Xiaofei Wang, Linjie Li, Chung-Ching Lin, Kevin Lin, Shujie Liu, Zhendong Wang, Zhengyuan Yang, Hung-yi Lee, Lijuan Wang Stochastic Optimal Control for Continuous-Time fMRI Representation Learning
Joonhyeong Park, Byoungwoo Park, Chang-Bae Bang, Jungwon Choi, Hyungjin Chung, Byung-Hoon Kim, Juho Lee Stochastic Self-Guidance for Training-Free Enhancement of Diffusion Models
Chubin Chen, Jiashu Zhu, Xiaokun Feng, Nisha Huang, Chen Zhu, Meiqi Wu, Fangyuan Mao, Jiahong Wu, Xiangxiang Chu, Xiu Li StochasTok: Improving Fine-Grained Subword Understanding in LLMs
Anya Sims, Thomas Foster, T. Duy Nguyen-Hien, Klara Kaleb, Joseph Lee, Jakob Nicolaus Foerster, Yee Whye Teh, Cong Lu STORM: Synergistic Cross-Scale Spatio-Temporal Modeling for Weather Forecasting
Qihe Huang, Zhengyang Zhou, Yangze Li, Jiaming Ma, Kuo Yang, Binwu Wang, Xu Wang, Yang Wang Story-Iter: A Training-Free Iterative Paradigm for Long Story Visualization
Jiawei Mao, Xiaoke Huang, Yunfei Xie, Yuanqi Chang, Mude Hui, Bingjie Xu, Zeyu Zheng, Zirui Wang, Cihang Xie, Yuyin Zhou Strategic Dishonesty Can Undermine AI Safety Evaluations of Frontier LLMs
Alexander Panfilov, Evgenii Kortukov, Kristina Nikolić, Matthias Bethge, Sebastian Lapuschkin, Wojciech Samek, Ameya Prabhu, Maksym Andriushchenko, Jonas Geiping STream3R: Scalable Sequential 3D Reconstruction with Causal Transformer
Yushi Lan, Yihang Luo, Fangzhou Hong, Shangchen Zhou, Honghua Chen, Zhaoyang Lyu, Bo Dai, Shuai Yang, Chen Change Loy, Xingang Pan Streaming Autoregressive Video Generation via Diagonal Distillation
Jinxiu Liu, Xuanming Liu, Kangfu Mei, Yandong Wen, Ming-Hsuan Yang, Weiyang Liu Streaming Drag-Oriented Interactive Video Manipulation: Drag Anything, Anytime!
Junbao Zhou, Yuan Zhou, Kesen Zhao, Qingshan Xu, Beier Zhu, Richang Hong, Hanwang Zhang Streaming Visual Geometry Transformer
Dong Zhuo, Wenzhao Zheng, Jiahe Guo, Yuqi Wu, Jie Zhou, Jiwen Lu StreamingVLM: Real-Time Understanding for Infinite Video Streams
Ruyi Xu, Guangxuan Xiao, Yukang Chen, Liuning He, Kelly Peng, Yao Lu, Song Han Stronger-MAS: Multi-Agent Reinforcement Learning for Collaborative LLMs
Yujie Zhao, Lanxiang Hu, Yang Wang, Minmin Hou, Hao Zhang, Ke Ding, Jishen Zhao Strongly Convex Sets in Riemannian Manifolds
Damien Scieur, David Martínez-Rubio, Thomas Kerdreux, Alexandre d'Aspremont, Sebastian Pokutta Structure Learning from Time-Series Data with Lag-Agnostic Structural Prior
Taiyu Ban, Changxin Rong, Xiangyu Wang, Lyuzhou Chen, Yanze Gao, Xin Wang, Huanhuan Chen Study of Training Dynamics for Memory-Constrained Fine-Tuning
Aël Quélennec, Nour Hezbri, Pavlo Mozharovskyi, Van-Tam Nguyen, Enzo Tartaglione Subspace Kernel Learning on Tensor Sequences
Lei Wang, Xi Ding, Yongsheng Gao, Piotr Koniusz SuperF: Neural Implicit Fields for Multi-Image Super-Resolution
Sander Riisøen Jyhne, Christian Igel, Morten Goodwin, Per-Arne Andersen, Serge Belongie, Nico Lang SuperMAN: Interpretable and Expressive Networks over Temporally Sparse Heterogeneous Data
Andrea Zerio, Maya Bechler-Speicher, Maor Huri, Marie Vibeke Vestergaard, Tine Jess, Ran Gilad-Bachrach, Samir Bhatt, Aleksejs Sazonovs Supervised Fine-Tuning or Contrastive Learning? Towards Better Multimodal LLM Reranking
Xin Zhang, Ziqi Dai, Mingxin Li, Yanzhao Zhang, Dingkun Long, Pengjun Xie, Meishan Zhang, Wenjie Li, Min Zhang Supervised Reinforcement Learning: From Expert Trajectories to Step-Wise Reasoning
Yihe Deng, I-Hung Hsu, Jun Yan, Zifeng Wang, Rujun Han, Gufeng Zhang, Yanfei Chen, Wei Wang, Tomas Pfister, Chen-Yu Lee SurfSplat: Conquering Feedforward 2D Gaussian Splatting with Surface Continuity Priors
Bing He, Jingnan Gao, Yunuo Chen, Ning Cao, Gang Chen, Zhengxue Cheng, Li Song, Wenjun Zhang SURGE: Surprise-Guided Token Reduction for Efficient Video Understanding with VLMs
Chong Tang, Sannara Ek, Dirk Koch, Robert D. Mullins, Alex S. Weddell, Jagmohan Chauhan SVD Provably Denoises Nearest Neighbor Data
Ravindran Kannan, Kijun Shin, David Woodruff SWE-RM: Execution-Free Feedback for Software Engineering Agents
KaShun Shum, Binyuan Hui, Jiawei Chen, Lei Zhang, X. W., Jiaxi Yang, Yuzhen Huang, Junyang Lin, Junxian He SWERank: Software Issue Localization with Code Ranking
Revanth Gangi Reddy, Tarun Suresh, JaeHyeok Doo, Ye Liu, Xuan-Phi Nguyen, Yingbo Zhou, Semih Yavuz, Caiming Xiong, Heng Ji, Shafiq Joty SWINGARENA: Adversarial Programming Arena for Long-Context GitHub Issue Solving
Wendong Xu, Jing Xiong, Chenyang Zhao, Qiujiang Chen, Haoran Wang, Hui Shen, Zhongwei Wan, Jianbo Dai, Taiqiang Wu, He Xiao, Chaofan Tao, Zhuoqing Mao, Ying Sheng, Zhijiang Guo, Hongxia Yang, Bei Yu, Lingpeng Kong, Quanquan Gu, Ngai Wong SwiReasoning: Switch-Thinking in Latent and Explicit for Pareto-Superior Reasoning LLMs
Dachuan Shi, Abedelkadir Asi, Keying Li, Xiangchi Yuan, Leyan Pan, Wenke Lee, Wen Xiao Symmetry-Aware Bayesian Optimization via Max Kernels
Anthony Bardou, Antoine Gonon, Aryan Ahadinia, Patrick Thiran SYNC: Measuring and Advancing Synthesizability in Structure-Based Drug Design
Yunfan Liu, Lirong Wu, Zhifeng Gao, Yufei Huang, Cheng Tan, Haitao Lin, Zicheng Liu, Changxi Chi, Chang Yu, Stan Z. Li SynCoGen: Synthesizable 3D Molecule Generation via Joint Reaction and Coordinate Modeling
Andrei Rekesh, Miruna Cretu, Dmytro Shevchuk, Pietro Lio, Robert A. Batey, Mike Tyers, Michał Koziarski, Cheng-Hao Liu Synergizing Understanding and Generation with Interleaved Analyzing-Drafting Thinking
Shengqiong Wu, Bobo Li, Xinkai Wang, Xiangtai Li, Lei Cui, Furu Wei, Shuicheng Yan, Hao Fei, Tat-Seng Chua Synthetic Bootstrapped Pretraining
Zitong Yang, Aonan Zhang, Hong Liu, Tatsunori Hashimoto, Emmanuel Candes, Chong Wang, Ruoming Pang Sysformer: Safeguarding Frozen Large Language Models with Adaptive System Prompts
Kartik Sharma, Yiqiao Jin, Vineeth Rakesh, Yingtong Dou, Menghai Pan, Mahashweta Das, Srijan Kumar SysMoBench: Evaluating AI on Formally Specifying Complex Real-World Systems
Qian Cheng, Ruize Tang, Emilie Ma, Finn Hackett, Peiyang He, Yiming Su, Ivan Beschastnikh, Yu Huang, Xiaoxing Ma, Tianyin Xu T-SNE Exaggerates Clusters, Provably
Noah Bergam, Szymon Snoeck, Nakul Verma T-TAMER: Provably Taming Trade-Offs in ML Serving
Yuanyuan Chloe Yang, Ruimin Zhang, Jamie Heather Morgenstern, Haifeng Xu TableDART: Dynamic Adaptive Multi-Modal Routing for Table Understanding
Xiaobo Xing, Wei Yuan, Tong Chen, Quoc Viet Hung Nguyen, Xiangliang Zhang, Hongzhi Yin Tactic: Adaptive Sparse Attention with Clustering and Distribution Fitting for Long-Context LLMs
Kan Zhu, Tian Tang, Qinyu Xu, Zhan Jin, Yile Gu, Zhichen Zeng, Rohan Kadekodi, Liangyu Zhao, Ang Li, Arvind Krishnamurthy, Baris Kasikci Take Note: Your Molecular Dataset Is Probably Aligned
Peter Lippmann, Roman Remme, Manuel V. Klockow, Fred A. Hamprecht Talk, Evaluate, Diagnose: User-Aware Agent Evaluation with Automated Error Analysis
Penny Chong, Harshavardhan Abichandani, Jiyuan Shen, Atin Ghosh, Min Pyae Moe, Yifan Mai, Daniel Dahlmeier Taming Curvature: Architecture Warm-up for Stable Transformer Training
Sameera Ramasinghe, Thalaiyasingam Ajanthan, Hadi Mohaghegh Dolatabadi, Chamin P Hewa Koneputugodage, Gil Avraham, Violetta Shevchenko, Yan Zuo, Karol Pajak, Alexander Long Taming Imperfect Process Verifiers: A Sampling Perspective on Backtracking
Dhruv Rohatgi, Abhishek Shetty, Donya Saless, Yuchen Li, Ankur Moitra, Andrej Risteski, Dylan J Foster TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching and Clap-Ranked Preference Optimization
Chia-Yu Hung, Navonil Majumder, Zhifeng Kong, Ambuj Mehrish, Amir Zadeh, Chuan Li, Rafael Valle, Bryan Catanzaro, Soujanya Poria Task-Adaptive Parameter-Efficient Fine-Tuning for Weather Foundation Models
Shilei Cao, Hehai Lin, Jiashun Cheng, Yang Liu, Guowen Li, Xuehe Wang, Juepeng Zheng, Haoyuan Liang, Meng Jin, Chengwei Qin, Hong Cheng, Haohuan Fu Task-Free Adaptive Meta Black-Box Optimization
Chao Wang, Licheng Jiao, Lingling Li, Jiaxuan Zhao, Guanchun Wang, Fang Liu, Shuyuan Yang TaskCraft: Automated Generation of Agentic Tasks
Dingfeng Shi, Jingyi Cao, Qianben Chen, Weichen Sun, Weizhen Li, Hongxuan Lu, Fangchen Dong, Tianrui Qin, King Zhu, Minghao Liu, Yuchen Eleanor Jiang, Jian Yang, Ge Zhang, Jiaheng Liu, Changwang Zhang, Jun Wang, Wangchunshu Zhou TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning
Jiaru Zou, Soumya Roy, Vinay Kumar Verma, Ziyi Wang, David Wipf, Pan Lu, Sumit Negi, James Zou, Jingrui He TAVAE: A VAE with Adaptable Priors Explains Contextual Modulation in the Visual Cortex
Balázs Meszéna, Keith Thomas Murray, Julien Corbo, O. Batuhan Erkat, Márton A. Hajnal, Pierre-Olivier Polack, Gergo Orban TD-JEPA: Latent-Predictive Representations for Zero-Shot Reinforcement Learning
Marco Bagatella, Matteo Pirotta, Ahmed Touati, Alessandro Lazaric, Andrea Tirinzoni TD-MoE: Tensor Decomposition for MoE Models
Yuebin Xu, Yanhong Wang, Xuemei Peng, Hui Zang, Chen Minghao, Pengfei Xia, Zeyi Wen Teach to Reason Safely: Policy-Guided Safety Tuning for MLRMs
Jingyu Zhang, Kun Yang, Ming Wen, Zhuoer Xu, Zeyang Sha, Shiwen Cui, Zhaohui Yang Teach2Eval: An Interaction-Driven LLMs Evaluation Method via Teaching Effectiveness
Yuhang Zhou, Xutian Chen, Yixin Cao, Yuchen Ni, Yu He, Siyu Tian, Xiang Liu, Yunwen Chen, Guangnan Ye, Xipeng Qiu, Hongfeng Chai Teaching Metric Distance to Discrete Autoregressive Language Models
Jiwan Chung, Saejin Kim, Yongrae Jo, Jaewoo Park, Dongjun Min, Youngjae Yu TEDM: Time Series Forecasting with Elucidated Diffusion Models
Edgardo Solano Carrillo, Sreerag V Naveenachandran, Julia Niebling Tell Me Habibi, Is It Real or Fake?
Kartik Kuckreja, Parul Gupta, Injy Hamed, Thamar Solorio, Muhammad Haris Khan, Abhinav Dhall Tempflow-GRPO: When Timing Matters for GRPO in Flow Models
Xiaoxuan He, Siming Fu, Yuke Zhao, Wanli Li, Jian Yang, Dacheng Yin, Fengyun Rao, Bo Zhang Temporal Generalization: A Reality Check
Divyam Madaan, Sumit Chopra, Kyunghyun Cho Temporal Superposition and Feature Geometry of RNNs Under Memory Demands
Pratyaksh Sharma, Alexandra Maria Proca, Lucas Prieto, Pedro A. M. Mediano Temporally Detailed Hypergraph Neural ODE for Disease Progression Modeling
Tingsong Xiao, Yao An Lee, Zelin Xu, Yupu Zhang, Zibo Liu, Yu Huang, Jiang Bian, Jingchuan Guo, Zhe Jiang Tensor Learning with Orthogonal, Lorentz, and Symplectic Symmetries
Wilson G. Gregory, Josué Tonelli-Cueto, Nicholas F. Marshall, Andrew S. Lee, Soledad Villar Tequila: Trapping-Free Ternary Quantization for Large Language Models
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Linqi Zhou, Mathias Parger, Ayaan Haque, Jiaming Song Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces
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Shangshang Wang, Julian Asilis, Ömer Faruk Akgül, Enes Burak Bilgin, Ollie Liu, Willie Neiswanger TIPO: Text to Image with Text Pre-Sampling for Prompt Optimization
Shih-Ying Yeh, Yi Li, SangHyun Park, Giyeong Oh, Xuehai Wang, Min Song, Youngjae Yu, Shang-Hong Lai TIPS: Turn-Level Information-Potential Reward Shaping for Search-Augmented LLMs
Yutao Xie, Nathaniel Thomas, Nicklas Hansen, Yang Fu, Li Erran Li, Xiaolong Wang TNT: Improving Chunkwise Training for Test-Time Memorization
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Guanhua Zhang, Ricardo Dominguez-Olmedo, Moritz Hardt Trained on Tokens, Calibrated on Concepts: The Emergence of Semantic Calibration in LLMs
Preetum Nakkiran, Arwen Bradley, Adam Golinski, Eugene Ndiaye, Michael Kirchhof, Sinead Williamson Training Large Reasoning Models Efficiently via Progressive Thought Encoding
Zeliang Zhang, Xiaodong Liu, Hao Cheng, Hao Sun, Chenliang Xu, Jianfeng Gao Training-Free Counterfactual Explanation for Temporal Graph Model Inference
Mingjian Lu, Haolai Che, Yangxin Fan, Qu Liu, Fei Shao, Tingjian Ge, Xusheng Xiao, Yinghui Wu Training-Free Loosely Speculative Decoding: Accepting Semantically Correct Drafts Beyond Exact Match
Jinze Li, Yixing Xu, Guanchen Li, Shuo Yang, Jinfeng Xu, Xuanwu Yin, Dong Li, Edith C. H. Ngai, Emad Barsoum Training-Free Text-Guided Color Editing with Multi-Modal Diffusion Transformer
Zixin Yin, Xili Dai, Ling-Hao Chen, Deyu Zhou, Jianan Wang, Duomin Wang, Gang Yu, Lionel Ni, Lei Zhang, Heung-Yeung Shum TRAJECT-Bench:A Trajectory-Aware Benchmark for Evaluating Agentic Tool Use
Pengfei He, Zhenwei Dai, Bing He, Hui Liu, Xianfeng Tang, Hanqing Lu, Juanhui Li, Jiayuan Ding, Subhabrata Mukherjee, Suhang Wang, Yue Xing, Jiliang Tang, Benoit Dumoulin Trajectory-Aware Shifted State Space Models for Online Video Super-Resolution
Qiang Zhu, Xiandong Meng, Yuxuan Jiang, Fan Zhang, David Bull, Shuyuan Zhu, Bing Zeng, Ronggang Wang TrajFlow: Nation-Wide Pseudo GPS Trajectory Generation with Flow Matching Models
Peiran Li, Jiawei Wang, Haoran Zhang, Xiaodan Shi, Noboru Koshizuka, Chihiro Shimizu, Renhe Jiang TrajTok: What Makes for a Good Trajectory Tokenizer in Behavior Generation?
Zhiyuan Zhang, Xiaosong Jia, Guanyu Chen, Qifeng Li, Zuxuan Wu, Yu-Gang Jiang, Junchi Yan Transducing Language Models
Vésteinn Snæbjarnarson, Samuel Kiegeland, Tianyu Liu, Reda Boumasmoud, Ryan Cotterell, Tim Vieira Transformers Are Inherently Succinct
Pascal Bergsträßer, Ryan Cotterell, Anthony Widjaja Lin Transformers with Endogenous In-Context Learning: Bias Characterization and Mitigation
Haotian Wang, Hao Zou, Haoxuan Li, Haoang Chi, Yang Shi, Yuanxing Zhang, Wenjing Yang, Xinwang Liu, Zhouchen Lin Transitive RL: Value Learning via Divide and Conquer
Seohong Park, Aditya Oberai, Pranav Atreya, Sergey Levine Translate Policy to Language: Flow Matching Generated Rewards for LLM Explanations
Xinyi Yang, Liang Zeng, Heng Dong, Chao Yu, Xiaoran Wu, Huazhong Yang, Yu Wang, Milind Tambe, Tonghan Wang Translating Flow to Policy via Hindsight Online Imitation
Yitian Zheng, Zhangchen Ye, Weijun Dong, Shengjie Wang, Yuyang Liu, Chongjie Zhang, Chuan Wen, Yang Gao TraPO: A Semi-Supervised Reinforcement Learning Framework for Boosting LLM Reasoning
Shenzhi Yang, Guangcheng Zhu, Haobo Wang, Xing Zheng, Yingfan Ma, Zhongqi Chen, Bowen Song, Weiqiang Wang, Junbo Zhao, Gang Chen Trapped by Simplicity: When Transformers Fail to Learn from Noisy Features
Evan Peters, Matheus Hrabowec Zambianco, Ando Deng, Devin Blankespoor, Achim Kempf Tree Search for LLM Agent Reinforcement Learning
Yuxiang Ji, Ziyu Ma, Yong Wang, Guanhua Chen, Xiangxiang Chu, Liaoni Wu Tree-Based Dialogue Reinforced Policy Optimization for Red-Teaming Attacks
Ruohao Guo, Afshin Oroojlooy, Roshan Sridhar, Miguel Ballesteros, Alan Ritter, Dan Roth Tree-Sliced Sobolev IPM
Viet-Hoang Tran, Thanh Tran, Thanh Chu, Duy-Tung Pham, Trung-Khang Tran, Tam Le, Tan Minh Nguyen Triangle Multiplication Is All You Need for Biomolecular Structure Representations
Jeffrey Ouyang-Zhang, Pranav Murugan, Daniel Jesus Diaz, Gianluca Scarpellini, Richard Strong Bowen, Nate Gruver, Adam Klivans, Philipp Kraehenbuehl, Aleksandra Faust, Maruan Al-Shedivat TRIBE: TRImodal Brain Encoder for Whole-Brain fMRI Response Prediction
Stéphane d'Ascoli, Jérémy Rapin, Yohann Benchetrit, Hubert Banville, Jean-Remi King TriC-Motion: Tri-Domain Causal Modeling Grounded Text-to-Motion Generation
Yiyang Cao, Yunze Deng, Ziyu Lin, Bin Feng, Xinggang Wang, Wenyu Liu, DanDan Zheng, Jingdong Chen Tricks or Traps? a Deep Dive into RL for LLM Reasoning
Zihe Liu, Jiashun Liu, Yancheng He, Weixun Wang, Jiaheng Liu, Ling Pan, Xinyu Hu, Shaopan Xiong, Ju Huang, Jian Hu, Shengyi Huang, Siran Yang, Jiamang Wang, Wenbo Su, Bo Zheng TrimR: Verifier-Based Training-Free Thinking Trimming for Efficient Test-Time Scaling
Weizhe Lin, Xing Li, Zhiyuan Yang, Xiaojin Fu, Hui-Ling Zhen, Yaoyuan Wang, Xianzhi Yu, Wulong Liu, Xiaosong Li, Mingxuan Yuan Trinity: An Evolved LLM Coordinator
Jinglue Xu, Qi Sun, Peter Schwendeman, Stefan Nielsen, Edoardo Cetin, Yujin Tang Trion: FFT-Based Dynamic Subspace Selection for Low-Rank Adaptive Optimization of LLMs
Ionut-Vlad Modoranu, Mher Safaryan, Erik Schultheis, Max Ryabinin, Artem Chumachenko, Dan Alistarh TripleSumm: Adaptive Triple-Modality Fusion for Video Summarization
Sumin Kim, Hyemin Jeong, Mingu Kang, Yejin Kim, Yoori Oh, Joonseok Lee TrojanTO: Action-Level Backdoor Attacks Against Trajectory Optimization Models
Yang Dai, Oubo Ma, Xingxing Liang, Longfei Zhang, Xiaochun Cao, Shouling Ji, Jiaheng Zhang, Jincai Huang, Li Shen TROLL: Trust Regions Improve Reinforcement Learning for Large Language Models
Philipp Becker, Niklas Freymuth, Serge Thilges, Fabian Otto, Gerhard Neumann Trust the Typical
Debargha Ganguly, Sreehari Sankar, Biyao Zhang, Vikash Singh, Kanan Gupta, Harshini Kavuru, Alan Luo, Weicong Chen, Warren Richard Morningstar, Raghu Machiraju, Vipin Chaudhary Trust-Region Adaptive Policy Optimization
Mingyu Su, Jian Guan, Yuxian Gu, Minlie Huang, Hongning Wang TrustGen: A Platform of Dynamic Benchmarking on the Trustworthiness of Generative Foundation Models
Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Jiayi Ye, Yujun Zhou, Yanbo Wang, Jiawen Shi, Qihui Zhang, Han Bao, Zhaoyi Liu, Yuan Li, Tianrui Guan, Peiran Wang, Haomin Zhuang, Dongping Chen, Kehan Guo, Andy Zou, Bryan Hooi, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jieyu Zhang, Jaehong Yoon, Kai Shu, Ranjay Krishna, Swabha Swayamdipta, Weijia Shi, Xiang Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen-Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Dawn Song, Xiangliang Zhang TrustJudge: Inconsistencies of LLM-as-a-Judge and How to Alleviate Them
Yidong Wang, Yunze Song, Tingyuan Zhu, Xuanwang Zhang, Zhuohao Yu, Hao Chen, Chiyu Song, Qiufeng Wang, Zhen Wu, Xinyu Dai, Yue Zhang, Cunxiang Wang, Wei Ye, Shikun Zhang TS-Attn: Temporal-Wise Separable Attention for Multi-Event Video Generation
Hongyu Zhang, Yufan Deng, Zilin Pan, Peng-Tao Jiang, Bo Li, Qibin Hou, Zhen Dong, Zhiyang Dou, Daquan Zhou TSPulse: Tiny Pre-Trained Models with Disentangled Representations for Rapid Time-Series Analysis
Vijay Ekambaram, Subodh Kumar, Arindam Jati, Sumanta Mukherjee, Tomoya Sakai, Pankaj Dayama, Wesley M. Gifford, Jayant Kalagnanam TTT3R: 3D Reconstruction as Test-Time Training
Xingyu Chen, Yue Chen, Yuliang Xiu, Andreas Geiger, Anpei Chen Tug-of-War No More: Harmonizing Accuracy and Robustness in Vision-Language Models via Stability-Aware Task Vector Merging
Junhao Dong, Xinghua Qu, Cong Zhang, Sua Qi Rong, Nguyen Duc Thai, Wenbo Pan, Xinfeng Li, Tongliang Liu, Piotr Koniusz, Yew-Soon Ong TUMIX: Multi-Agent Test-Time Scaling with Tool-Use Mixture
Yongchao Chen, Jiefeng Chen, Rui Meng, Ji Yin, Na Li, Chuchu Fan, Chi Wang, Tomas Pfister, Jinsung Yoon TumorChain: Interleaved Multimodal Chain-of-Thought Reasoning for Traceable Clinical Tumor Analysis
Sijing Li, Zhongwei Qiu, Jiang Liu, Wenqiao Zhang, Tianwei Lin, Yihan Xie, Jianxiang An, Boxiang Yun, Chenglin Yang, Jun Xiao, Guangyu Guo, Jiawen Yao, Wei Liu, Yuan Gao, Ke Yan, Weiwei Cao, Zhilin Zheng, Tony C. W. Mok, Kai Cao, Yu Shi, Jiuyu Zhang, Jian Zhou, Beng Chin Ooi, Yingda Xia, Ling Zhang TurboBoA: Faster and Exact Attention-Aware Quantization Without Backpropagation
Junhan Kim, Yeo Jeong Park, Seungwoo Son, Chungman Lee, Ho-young Kim, Joonyoung Kim, Yongkweon Jeon TusoAI: Agentic Optimization for Scientific Methods
Alistair Turcan, Kexin Huang, Lei Li, Martin Jinye Zhang Two (narrow) Heads Are Better than (an Arbitrarily Wide) One
Amanuel Tesfaye, Zeno Kujawa, Rajmohan Rajaraman, Ravi Sundaram Type-Compliant Adaptation Cascades
Chu-Cheng Lin, Daiyi Peng, Yifeng Lu, Ming Zhang, Eugene Ie TyphoonMLA: A Mixed Naive-Absorb MLA Kernel for Shared Prefix
Ahmet Caner Yüzügüler, Ahmet Çelik, Jiawei Zhuang, Lukas Cavigelli U2-BENCH: Benchmarking Large Vision-Language Models on Ultrasound Understanding
Anjie Le, Henan Liu, Wangyue, Zhenyu Liu, Rongkun Zhu, Taohan Weng, Jinze Yu, Boyang Wang, Yalun Wu, Kaiwen Yan, Quanlin Sun, Meirui Jiang, Jialun Pei, Siya Liu, Haoyun Zheng, Zhoujun Li, Alison Noble, Jacques Souquet, Xiaoqing Guo, Manxi Lin, Hongcheng Guo UALM: Unified Audio Language Model for Understanding, Generation and Reasoning
Jinchuan Tian, Sang-gil Lee, Zhifeng Kong, Sreyan Ghosh, Arushi Goel, Chao-Han Huck Yang, Wenliang Dai, Zihan Liu, Hanrong Ye, Shinji Watanabe, Mohammad Shoeybi, Bryan Catanzaro, Rafael Valle, Wei Ping UFO-4D: Unposed Feedforward 4D Reconstruction from Two Images
Junhwa Hur, Charles Herrmann, Songyou Peng, Philipp Henzler, Zeyu Ma, Todd Zickler, Deqing Sun UI-Ins: Enhancing GUI Grounding with Multi-Perspective Instruction as Reasoning
Liangyu Chen, Hanzhang Zhou, Chenglin Cai, Jianan Zhang, Panrong Tong, Xu Zhang, Quyu Kong, Chen Liu, Yuqi Liu, Wenxuan Wang, Yue Wang, Qin Jin, Steven Hoi Ultra-Fast Language Generation via Discrete Diffusion Divergence Instruct
Haoyang Zheng, Xinyang Liu, Xiangrui Kong, Nan Jiang, Zheyuan Hu, Weijian Luo, Wei Deng, Guang Lin UltraLLaDA: Scaling the Context Length to 128k for Diffusion Large Language Models
Guangxin He, Shen Nie, Fengqi Zhu, Yuankang Zhao, Tianyi Bai, Ran Yan, Jie Fu, Chongxuan Li, Binhang Yuan UltraMemV2: Memory Networks Scaling to 120b Parameters with Superior Long-Context Learning
Zihao Huang, Yu Bao, Qiyang Min, Siyan Chen, Ran Guo, Hongzhi Huang, Defa Zhu, Banggu Wu, Yutao Zeng, Zhou Xun, Siyuan Qiao UltraViCo: Breaking Extrapolation Limits in Video Diffusion Transformers
Min Zhao, Hongzhou Zhu, Yingze Wang, Bokai Yan, Jintao Zhang, Guande He, Ling Yang, Chongxuan Li, Jun Zhu Unbiased Object Detection Beyond Frequency with Visually Prompted Image Synthesis
Xinhao Cai, Liulei Li, Gensheng Pei, Tao Chen, Jinshan Pan, Yazhou Yao, Wenguan Wang Uncertainty as Feature Gaps: Epistemic Uncertainty Quantification of LLMs in Contextual Question-Answering
Yavuz Faruk Bakman, Sungmin Kang, Zhiqi Huang, Duygu Nur Yaldiz, Catarina G Belém, Chenyang Zhu, Anoop Kumar, Alfy Samuel, Daben Liu, Salman Avestimehr, Sai Praneeth Karimireddy Uncertainty Estimation via Hyperspherical Confidence Mapping
Eunseo Choi, Ho-Yeon Kim, Jaewon Lee, Taeyong Jo, Myungjun Lee, Heejin Ahn Uncertainty-Aware Gaussian mAP for Vision-Language Navigation
Jianzhe Gao, Rui Liu, Yuxuan Xu, Tongtong Cao, Yingxue Zhang, Zhanguang Zhang, Sida Peng, Yi Yang, Wenguan Wang Uncertainty-Driven Embedding Convolution
Sungjun Lim, Kangjun Noh, Youngjun Choi, Heeyoung Lee, Kyungwoo Song Uncover Underlying Correspondence for Robust Multi-View Clustering
Haochen Zhou, Guofeng Ding, Mouxing Yang, Peng Hu, Yijie Lin, Xi Peng Understanding and Improving Hyperbolic Deep Reinforcement Learning
Timo Klein, Thomas Lang, Andrii Shkabrii, Alexander Sturm, Kevin Sidak, Lukas Miklautz, Claudia Plant, Yllka Velaj, Sebastian Tschiatschek Understanding and Improving Shampoo and SOAP via Kullback-Leibler Minimization
Wu Lin, Scott C. Lowe, Felix Dangel, Runa Eschenhagen, Zikun Xu, Roger Baker Grosse Understanding the Implicit Biases of Design Choices for Time Series Foundation Models
Annan Yu, Danielle C. Maddix, Boran Han, Xiyuan Zhang, Abdul Fatir Ansari, Oleksandr Shchur, Christos Faloutsos, Andrew Gordon Wilson, Michael W. Mahoney, Bernie Wang Understanding the Mixture-of-Experts with Nadaraya-Watson Kernel
Chuanyang Zheng, Jiankai Sun, Yihang Gao, Enze Xie, Yuehao Wang, Peihao Wang, Ting Xu, Matthew Chang, Liliang Ren, Jingyao Li, Jing Xiong, Kashif Rasul, Mac Schwager, Anderson Schneider, Zhangyang Wang, Yuriy Nevmyvaka Understanding Transformers for Time Series: Rank Structure, Flow-of-Ranks, and Compressibility
Annan Yu, Danielle C. Maddix, Boran Han, Xiyuan Zhang, Abdul Fatir Ansari, Oleksandr Shchur, Christos Faloutsos, Andrew Gordon Wilson, Michael W. Mahoney, Bernie Wang Unfolding Spatial Cognition: Evaluating Multimodal Models on Visual Simulations
Linjie Li, Mahtab Bigverdi, Jiawei Gu, Zixian Ma, Yinuo Yang, Ziang Li, Yejin Choi, Ranjay Krishna Uni-CoT: Towards Unified Chain-of-Thought Reasoning Across Text and Vision
Luozheng Qin, Gong Jia, Yuqing Sun, Tianjiao Li, Haoyu Pan, Mengping Yang, Xiaomeng Yang, Chao Qu, Zhiyu Tan, Hao Li Uni-DPO: A Unified Paradigm for Dynamic Preference Optimization of LLMs
Shangpin Peng, Weinong Wang, Zhuotao Tian, Senqiao Yang, Xing W, Haotian Xu, Chengquan Zhang, Takashi Isobe, Baotian Hu, Min Zhang Uni-NTFM: A Unified Foundation Model for EEG Signal Representation Learning
Zhisheng Chen, Yingwei Zhang, Qizhen Lan, Tianyu Liu, Huacan Wang, Yi Ding, Ziyu Jia, Ronghao Chen, Kun Wang, Xinliang Zhou UniCA: Unified Covariate Adaptation for Time Series Foundation Model
Lu Han, Yu Liu, Lan Li, Qiwen Deng, Jian Jiang, Yinbo Sun, Zhe Yu, Binfeng Wang, Xingyu Lu, Lintao Ma, Han-Jia Ye, De-Chuan Zhan UniF$^2$ace: A $\underline{Uni}$fied $\underline{F}$ine-Grained $\underline{Face}$ Understanding and Generation Model
Junzhe Li, Sifan Zhou, Liya Guo, Xuerui Qiu, Linrui Xu, TingTing Long, Chun Fan, Ming Li, Hehe Fan, Jun Liu, Shuicheng Yan Unified 3D Scene Understanding Through Physical World Modeling
Wanhee Lee, Klemen Kotar, Rahul Mysore Venkatesh, Jared Watrous, Honglin Chen, Khai Loong Aw, Daniel LK Yamins Unified Brain Surface and Volume Registration
Mazdak Abulnaga, Andrew Hoopes, Malte Hoffmann, Robin Magnet, Maks Ovsjanikov, Lilla Zollei, John Guttag, Bruce Fischl, Adrian V Dalca Unified Diffusion VLA: Vision-Language-Action Model via Joint Discrete Denosing Diffusion Process
Jiayi Chen, Wenxuan Song, Pengxiang Ding, Ziyang Zhou, Han Zhao, Feilong Tang, Donglin Wang, Haoang Li Unified In-Context Video Editing
Zixuan Ye, Xuanhua He, Quande Liu, Qiulin Wang, Xintao Wang, Pengfei Wan, Di Zhang, Kun Gai, Qifeng Chen, Wenhan Luo Unified Privacy Guarantees for Decentralized Learning via Matrix Factorization
Aurélien Bellet, Edwige Cyffers, Davide Frey, Romaric Gaudel, Dimitri Lerévérend, Francois Taiani Unified Vision-Language-Action Model
Yuqi Wang, Xinghang Li, Wenxuan Wang, Junbo Zhang, Yingyan Li, Yuntao Chen, Xinlong Wang, Zhaoxiang Zhang UniFlow: A Unified Pixel Flow Tokenizer for Visual Understanding and Generation
Zhengrong Yue, Haiyu Zhang, Xiangyu Zeng, Boyu Chen, Chenting Wang, Shaobin Zhuang, Lu Dong, Yi Wang, Limin Wang, Yali Wang Uniform Discrete Diffusion with Metric Path for Video Generation
Haoge Deng, Ting Pan, Fan Zhang, Yang Liu, Zhuoyan Luo, Yufeng Cui, Wenxuan Wang, Chunhua Shen, Shiguang Shan, Zhaoxiang Zhang, Xinlong Wang Unifying Stable Optimization and Reference Regularization in RLHF
Li He, Qiang Qu, He Zhao, Stephen Wan, Dadong Wang, Lina Yao, Tongliang Liu UniLiP: Adapting CLIP for Unified Multimodal Understanding, Generation and Editing
Hao Tang, Chen-Wei Xie, Xiaoyi Bao, Tingyu Weng, Pandeng Li, Yun Zheng, Liwei Wang UniQL: Unified Quantization and Low-Rank Compression for Adaptive Edge LLMs
Hung-Yueh Chiang, Chi-Chih Chang, Yu-Chen Lu, Chien-Yu Lin, Kai-Chiang Wu, Mohamed S. Abdelfattah, Diana Marculescu UniSS: Unified Expressive Speech-to-Speech Translation with Your Voice
Sitong Cheng, Bianweizhen, Xinsheng Wang, Ruibin Yuan, Jianyi Chen, Shunshun Yin, Yike Guo, Wei Xue UniTrack: Differentiable Graph Representation Learning for Multi-Object Tracking
Bishoy Galoaa, Xiangyu Bai, Utsav Nandi, Sai Siddhartha Vivek Dhir Rangoju, Somaieh Amraee, Sarah Ostadabbas UniUGG: Unified 3D Understanding and Generation via Geometric-Semantic Encoding
Yueming Xu, Jiahui Zhang, Ze Huang, Yurui Chen, Yanpeng Zhou, Zhenyu Chen, Yu-Jie Yuan, Pengxiang Xia, Guowei Huang, Xinyue Cai, Zhongang Qi, Xingyue Quan, Jianye Hao, Hang Xu, Li Zhang Universal Beta Splatting
Rong Liu, Zhongpai Gao, Benjamin Planche, Meida Chen, Van Nguyen Nguyen, Meng Zheng, Anwesa Choudhuri, Terrence Chen, Yue Wang, Andrew Feng, Ziyan Wu Universal Inverse Distillation for Matching Models with Real-Data Supervision (No GANs)
Nikita Maksimovich Kornilov, David Li, Tikhon Mavrin, Aleksei Leonov, Nikita Gushchin, Evgeny Burnaev, Iaroslav Sergeevich Koshelev, Alexander Korotin Universal Model Routing for Efficient LLM Inference
Wittawat Jitkrittum, Harikrishna Narasimhan, Ankit Singh Rawat, Jeevesh Juneja, Congchao Wang, Zifeng Wang, Alec Go, Chen-Yu Lee, Pradeep Shenoy, Rina Panigrahy, Aditya Krishna Menon, Sanjiv Kumar Universal Multi-Domain Translation via Diffusion Routers
Duc Kieu, Kien Do, Tuan Hoang, Thao Minh Le, Tung Kieu, Dang Nguyen, Thin Nguyen Universal Properties of Activation Sparsity in Modern Large Language Models
Filip Szatkowski, Patryk Będkowski, Alessio Devoto, Jan Dubiński, Pasquale Minervini, Mikołaj Piórczyński, Simone Scardapane, Bartosz Wójcik Universal Value-Function Uncertainties
Moritz Akiya Zanger, Max Weltevrede, Yaniv Oren, Pascal R. Van der Vaart, Caroline Horsch, Wendelin Boehmer, Matthijs T. J. Spaan UniVideo: Unified Understanding, Generation, and Editing for Videos
Cong Wei, Quande Liu, Zixuan Ye, Qiulin Wang, Xintao Wang, Pengfei Wan, Kun Gai, Wenhu Chen Unlearning During Training: Domain-Specific Gradient Ascent for Domain Generalization
Di Zhao, Jingfeng Zhang, Hongsheng Hu, Philippe Fournier-Viger, Gillian Dobbie, Yun Sing Koh Unleashing Guidance Without Classifiers for Human-Object Interaction Animation
Ziyin Wang, Sirui Xu, Chuan Guo, Bing Zhou, Jiangshan Gong, Jian Wang, Yu-Xiong Wang, Liangyan Gui Unleashing Perception-Time Scaling to Multimodal Reasoning Models
Yifan Li, Zhenghao Chen, Ziheng Wu, Kun Zhou, Ruipu Luo, Can Zhang, Zhentao He, Yufei Zhan, Xin Zhao, Minghui Qiu Unleashing Scientific Reasoning for Bio-Experimental Protocol Generation via Structured Component-Based Reward Mechanism
Haoran Sun, Yankai Jiang, Zhenyu Tang, Yaning Pan, Shuang Gu, Zekai Lin, Lilong Wang, Wenjie Lou, Lei Liu, Lei Bai, Xiaosong Wang UnLoc: Leveraging Depth Uncertainties for Floorplan Localization
Matthias Wüest, Francis Engelmann, Ondrej Miksik, Marc Pollefeys, Daniel Barath Unlocking Full Efficiency of Token Filtering in Large Language Model Training
Di Chai, Li Pengbo, Feiyuan Zhang, Yilun Jin, Han Tian, Kaiqiang Xu, Binhang Yuan, Dian Shen, Junxue Zhang, Kai Chen Unlocking Long-Horizon Agentic Search with Large-Scale End-to-End RL
Jiaxuan Gao, Wei Fu, Minyang Xie, Shusheng Xu, Chuyi He, Zhiyu Mei, Banghua Zhu, Yi Wu Unlocking the Power of Multi-Agent LLM for Reasoning: From Lazy Agents to Deliberation
Zhiwei Zhang, Xiaomin Li, Yudi Lin, Hui Liu, Ramraj Chandradevan, Linlin Wu, Minhua Lin, Fali Wang, Xianfeng Tang, Qi He, Suhang Wang Unmute the Patch Tokens: Rethinking Probing in Multi-Label Audio Classification
Lukas Rauch, René Heinrich, Houtan Ghaffari, Lukas Miklautz, Ilyass Moummad, Bernhard Sick, Christoph Scholz Untraceable DeepFakes via Traceable Fingerprint Elimination
Jiewei Lai, Lan Zhang, Chen Tang, Pengcheng Sun, Xinming Wang, Yunhao Wang Unveiling Perceptual Artifacts: A Fine-Grained Benchmark for Interpretable AI-Generated Image Detection
Yao Xiao, Weiyan Chen, Jiahao Chen, Zijie Cao, Weijian Deng, Binbin Yang, ZiYi Dong, Xiangyang Ji, Wei Ke, Pengxu Wei, Liang Lin Unveiling Super Experts in Mixture-of-Experts Large Language Models
Zunhai Su, Qingyuan Li, HaoZhang, Weihao Ye, Qibo Xue, Yulei Qian, Ngai Wong, Kehong Yuan Unveiling the Basin-like Loss Landscape in Large Language Models
Huanran Chen, Zeming Wei, Yao Huang, Yichi Zhang, Yinpeng Dong, Jun Zhu Unveiling the Cognitive Compass: Theory-of-Mind–Guided Multimodal Emotion Reasoning
Meng Luo, Bobo Li, Shanqing Xu, Shize Zhang, Qiuchan Chen, Menglu Han, Wenhao Chen, Yanxiang Huang, Hao Fei, Mong-Li Lee, Wynne Hsu UP2You: Fast Reconstruction of Yourself from Unconstrained Photo Collections
Zeyu Cai, Ziyang Li, Xiaoben Li, Boqian Li, Zeyu Wang, Zhenyu Zhang, Yuliang Xiu Urban Socio-Semantic Segmentation with Vision-Language Reasoning
Yu Wang, Yi Wang, Rui Dai, Yujie Wang, Kaikui Liu, Xiangxiang Chu, Yansheng Li UrbanGS: Efficient and Scalable Architecture for Geometrically Accurate Large-Scene Reconstruction
Changbai Li, Haodong Zhu, Hanlin Chen, Xiuping Liang, Tongfei Chen, Shuwei Shao, Linlin Yang, Huobin Tan, Baochang Zhang Use the Online Network if You Can: Towards Fast and Stable Reinforcement Learning
Ahmed Hendawy, Henrik Metternich, Théo Vincent, Mahdi Kallel, Jan Peters, Carlo D'Eramo V2P-Bench: Evaluating Video-Language Understanding with Visual Prompts for Better Human-Model Interaction
Yiming Zhao, Yu Zeng, Yukun Qi, YaoYang Liu, Xikun Bao, Lin Chen, Zehui Chen, Qing Miao, Chenxi Liu, Jie Zhao, Feng Zhao VADv2: End-to-End Vectorized Autonomous Driving via Probabilistic Planning
Bo Jiang, Shaoyu Chen, Hao Gao, Bencheng Liao, Qian Zhang, Wenyu Liu, Xinggang Wang Value Flows
Perry Dong, Chongyi Zheng, Chelsea Finn, Dorsa Sadigh, Benjamin Eysenbach Value Matching: Scalable and Gradient-Free Reward-Guided Flow Adaptation
Cristian Perez Jensen, Luca Schaufelberger, Riccardo De Santi, Kjell Jorner, Andreas Krause VARestorer: One-Step VAR Distillation for Real-World Image Super-Resolution
Yixuan Zhu, Shilin Ma, Haolin Wang, Ao Li, Yanzhe Jing, Yansong Tang, Lei Chen, Jiwen Lu, Jie Zhou Variation-Aware Flexible 3D Gaussian Editing
Hao Qin, Yukai Sun, Meng Wang, Ming Kong, Mengxu Lu, Qiang Zhu Variational Deep Learning via Implicit Regularization
Jonathan Wenger, Beau Coker, Juraj Marusic, John Patrick Cunningham Variational Reasoning for Language Models
Xiangxin Zhou, Zichen Liu, Haonan Wang, Chao Du, Min Lin, Chongxuan Li, Liang Wang, Tianyu Pang VaseVQA-3D: Benchmarking 3D VLMs on Ancient Greek Pottery
Nonghai Zhang, Zeyu Zhang, Jiazi Wang, Yang Zhao, Hao Tang vAttention: Verified Sparse Attention via Sampling
Aditya Desai, Kumar Krishna Agrawal, Shuo Yang, Alejandro Cuadron, Luis Gaspar Schroeder, Matei Zaharia, Joseph E. Gonzalez, Ion Stoica vCache: Verified Semantic Prompt Caching
Luis Gaspar Schroeder, Aditya Desai, Alejandro Cuadron, Kyle Chu, Shu Liu, Mark Zhao, Stephan Krusche, Alfons Kemper, Matei Zaharia, Joseph E. Gonzalez VCWorld: A Biological World Model for Virtual Cell Simulation
Zhijian Wei, Runze Ma, Zichen Wang, Zhongmin Li, Shuotong Song, Shuangjia Zheng VenusX: Unlocking Fine-Grained Functional Understanding of Proteins
Yang Tan, Wenrui Gou, Bozitao Zhong, Huiqun Yu, Liang Hong, Bingxin Zhou VER: Vision Expert Transformer for Robot Learning via Foundation Distillation and Dynamic Routing
Yixiao Wang, Mingxiao Huo, Zhixuan Liang, Yushi Du, Lingfeng Sun, Haotian Lin, Jinghuan Shang, Chensheng Peng, Mohit Bansal, Mingyu Ding, Masayoshi Tomizuka VeriCoT: Neuro-Symbolic Chain-of-Thought Validation via Logical Consistency Checks
Yu Feng, Nathaniel Weir, Kaj Bostrom, Sam Bayless, Darion Cassel, Sapana Chaudhary, Benjamin Kiesl-Reiter, Huzefa Rangwala Verifier-Constrained Flow Expansion for Discovery Beyond the Data
Riccardo De Santi, Kimon Protopapas, Ya-Ping Hsieh, Andreas Krause Verifier-Free Test-Time Sampling for Vision-Language-Action Models
Suhyeok Jang, Dongyoung Kim, Changyeon Kim, Youngsuk Kim, Jinwoo Shin VerifyBench: Benchmarking Reference-Based Reward Systems for Large Language Models
Yuchen Yan, Jin Jiang, Zhenbang Ren, Yijun Li, Xudong Cai, Yang Liu, Xin Xu, Mengdi Zhang, Jian Shao, Yongliang Shen, Jun Xiao, Yueting Zhuang Verifying Chain-of-Thought Reasoning via Its Computational Graph
Zheng Zhao, Yeskendir Koishekenov, Xianjun Yang, Naila Murray, Nicola Cancedda VERINA: Benchmarking Verifiable Code Generation
Zhe Ye, Zhengxu Yan, Jingxuan He, Timothe Kasriel, Kaiyu Yang, Dawn Song Veritas: Generalizable Deepfake Detection via Pattern-Aware Reasoning
Hao Tan, Jun Lan, Zichang Tan, Senyuan Shi, Ajian Liu, Chuanbiao Song, Huijia Zhu, Weiqiang Wang, Jun Wan, Zhen Lei VGR: Visual Grounded Reasoning
Jiacong Wang, Zijian Kang, Haochen Wang, LiangXiao, Ya Wang, Jiawen Li, Bohong Wu, Ran Jiao, Haiyong Jiang, ChaoFeng, Jun Xiao VibeVoice: Expressive Podcast Generation with Next-Token Diffusion
Zhiliang Peng, Jianwei Yu, Wenhui Wang, Yaoyao Chang, Yutao Sun, Li Dong, Yi Zhu, Weijiang Xu, Hangbo Bao, Zehua Wang, Shaohan Huang, Yan Xia, Furu Wei Vid2World: Crafting Video Diffusion Models to Interactive World Models
Siqiao Huang, Jialong Wu, Qixing Zhou, Shangchen Miao, Mingsheng Long VidBridge-R1: Bridging QA and Captioning for RL-Based Video Understanding Models with Intermediate Proxy Tasks
Xinlong Chen, Yuanxing Zhang, Yushuo Guan, Weihong Lin, Zekun Moore Wang, Bohan Zeng, Yang Shi, Sihan Yang, Qiang Liu, Pengfei Wan, Liang Wang Video Unlearning via Low-Rank Refusal Vector
Simone Facchiano, Stefano Saravalle, Matteo Migliarini, Edoardo De Matteis, Alessio Sampieri, Andrea Pilzer, Emanuele Rodolà, Indro Spinelli, Luca Franco, Fabio Galasso Video-as-Prompt: Unified Semantic Control for Video Generation
Yuxuan Bian, Xin Chen, Zenan Li, Tiancheng Zhi, Shen Sang, Linjie Luo, Qiang Xu Video-GPT via Next CLIP Diffusion
Shaobin Zhuang, Zhipeng Huang, Ying Zhang, Fangyikang Wang, Canmiao Fu, Binxin Yang, Chong Sun, Chen Li, Yali Wang Video-KTR: Reinforcing Video Reasoning via Key Token Attribution
Ziyue Wang, Sheng Jin, Zhongrong Zuo, Jiawei Wu, Han Qiu, Qi She, Hao Zhang, Xudong Jiang Video-STAR: Reinforcing Open-Vocabulary Action Recognition with Tools
Zhenlong Yuan, Xiangyan Qu, Chengxuan Qian, Rui Chen, Jing Tang, Lei Sun, Xiangxiang Chu, Dapeng Zhang, Yiwei Wang, Yujun Cai, Shuo Li VideoAgentTrek: Computer-Use Pretraining from Unlabeled Videos
Dunjie Lu, Yiheng Xu, Junli Wang, Haoyuan Wu, Xinyuan Wang, Zekun Wang, Junlin Yang, Hongjin Su, Jixuan Chen, Junda Chen, Yuchen Mao, Junyang Lin, Binyuan Hui, Tao Yu VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling
Xinhao Li, Yi Wang, Jiashuo Yu, Xiangyu Zeng, Yuhan Zhu, Haian Huang, Jianfei Gao, Kunchang Li, Yinan He, Chenting Wang, Yu Qiao, Yali Wang, Limin Wang VideoMathQA: Benchmarking Mathematical Reasoning via Multimodal Understanding in Video
Hanoona Abdul Rasheed, Abdelrahman M Shaker, Anqi Tang, Muhammad Maaz, Ming-Hsuan Yang, Salman Khan, Fahad Shahbaz Khan VideoNSA: Native Sparse Attention Scales Video Understanding
Enxin Song, Wenhao Chai, Shusheng Yang, Ethan J. Armand, Xiaojun Shan, Haiyang Xu, Jianwen Xie, Zhuowen Tu VideoReasonBench: Can MLLMs Perform Vision-Centric Complex Video Reasoning?
Yuanxin Liu, Kun Ouyang, Haoning Wu, Yi Liu, Lin Sui, Xinhao Li, Yan Zhong, Y.Charles, Xinyu Zhou, Xu Sun VidGuard-R1: AI-Generated Video Detection and Explanation via Reasoning MLLMs and RL
Kyoungjun Park, Yifan Yang, Juheon Yi, Shicheng Zheng, Muhammad Muaz, Yifei Shen, Dongqi Han, Caihua Shan, Lili Qiu Villa-X: Enhancing Latent Action Modeling in Vision-Language-Action Models
Xiaoyu Chen, Hangxing Wei, Pushi Zhang, Chuheng Zhang, Kaixin Wang, Yanjiang Guo, Rushuai Yang, Yucen Wang, Xinquan Xiao, Li Zhao, Jianyu Chen, Jiang Bian ViMo: A Generative Visual GUI World Model for App Agents
Dezhao Luo, Bohan Tang, Kang Li, Georgios Papoudakis, Jifei Song, Shaogang Gong, Jianye Hao, Jun Wang, Kun Shao VINCIE: Unlocking In-Context Image Editing from Video
Leigang Qu, Feng Cheng, Ziyan Yang, Qi Zhao, Shanchuan Lin, Yichun Shi, Yicong Li, Wenjie Wang, Tat-Seng Chua, Lu Jiang Vintix II: Decision Pre-Trained Transformer Is a Scalable In-Context Reinforcement Learner
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Juntian Zhang, Song Jin, Chuanqi Cheng, Yuhan Liu, Yankai Lin, Xun Zhang, Yufei Zhang, Fei Jiang, Guojun Yin, Wei Lin, Rui Yan ViPO: Visual Preference Optimization at Scale
Ming Li, Jie Wu, Justin Cui, Xiaojie Li, Rui Wang, Chen Chen ViPRA: Video Prediction for Robot Actions
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Tianfu Wang, Liwei Deng, Xi Chen, Junyang Wang, Huiguo He, Zhengyu Hu, Wei Wu, Leilei Ding, Qilin Fan, Hui Xiong Virtual Community: An Open World for Humans, Robots, and Society
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Qinsi Wang, Bo Liu, Tianyi Zhou, Jing Shi, Yueqian Lin, Yiran Chen, Hai Helen Li, Kun Wan, Wentian Zhao VisJudge-Bench: Aesthetics and Quality Assessment of Visualizations
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Qingyang Mao, Qi Cai, Yehao Li, Yingwei Pan, Mingyue Cheng, Ting Yao, Qi Liu, Tao Mei Visual Compositional Tuning
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Wenxin Zhao, Jiachuan Wang, Yongqi Zhang, Shuangyin Li, Cheng Deng, Jun Wang, Lei Chen VoMP: Predicting Volumetric Mechanical Property Fields
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Tri Cao, Bennett Lim, Yue Liu, Yuan Sui, Yuexin Li, Shumin Deng, Lin Lu, Nay Oo, Shuicheng Yan, Bryan Hooi VTool-R1: VLMs Learn to Think with Images via Reinforcement Learning on Multimodal Tool Use
Mingyuan Wu, Jingcheng Yang, Jize Jiang, Meitang Li, Kaizhuo Yan, Hanchao Yu, Minjia Zhang, ChengXiang Zhai, Klara Nahrstedt VUDG: A Dataset for Video Understanding Domain Generalization
Ziyi Wang, Zhi Gao, Boxuan Yu, Zirui Dai, Peiyao Wang, Yuxiang Song, Qingyuan Lu, Jin Chen, Xinxiao Wu Vulcan: Crafting Compact Class-Specific Vision Transformers for Edge Intelligence
Ziteng Wei, Qiang He, Feifei Chen, Ranjie Duan, Xiaodan Li, Bin Li, YueFeng Chen, Hui Xue, Hai Jin, Yun Yang WALT: Web Agents That Learn Tools
Viraj Prabhu, Yutong Dai, Matthew Fernandez, Krithika Ramakrishnan, Jing Gu, Yanqi Luo, Silvio Savarese, Caiming Xiong, Junnan Li, Zeyuan Chen, Ran Xu WARC-Bench: Web Archive Based Benchmark for GUI Subtask Executions
Sanjari Srivastava, Gang Li, Cheng Chang, Rishu Garg, Manpreet Kaur, Charlene Y. Lee, Yuezhang Li, Yining Mao, Ignacio Cases, Yanan Xie, Peng Qi WaterDrum: Watermark-Based Data-Centric Unlearning Metric
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Min Wang, Xin Li, Ye He, Yao-Hui Li, Hasnaa Bennis, Riashat Islam, Mingzhong Wang We-Math 2.0: A Versatile MathBook System for Incentivizing Visual Mathematical Reasoning
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Ruimeng Ye, Zihan Wang, Yang Xiao, Zinan Ling, Manling Li, Bo Hui WearVox: An Egocentric Multichannel Voice Assistant Benchmark for Wearables
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Yuhan Guo, Guocong, Aiwen Sun, Hongliang He, Xinyu Yang, Yue Lu, Yingji Zhang, Xuntao Guo, Dong Zhang, Jianzhuang Liu, Jiang Duan, Yijia Xiao, Liangjian Wen, Haiming Xu, Yong Dai WebDevJudge: Evaluating (M)LLMs as Critiques for Web Development Quality
Chunyang Li, Yilun Zheng, Xinting Huang, Tianqing Fang, Jiahao Xu, Lihui Chen, Yangqiu Song, Han Hu WebDS: An End-to-End Benchmark for Web-Based Data Science
Ethan Hsu, Hong Meng Yam, Ines Bouissou, Aaron Murali John, Raj Thota, Josh Koe, Vivek Sarath Putta, G K Dharesan, Alexander Spangher, Shikhar Murty, Tenghao Huang, Christopher D Manning WebFactory: Automated Compression of Foundational Language Intelligence into Grounded Web Agents
Sicheng Fan, Qingyun Shi, Shengze Xu, Shengbo Cai, Tieyong Zeng, Li Ling, Yanyi Shang, Dehan Kong WebSailor-V2: Bridging the Chasm to Proprietary Agents via Synthetic Data and Scalable Reinforcement Learning
Kuan Li, Zhongwang Zhang, Huifeng Yin, Rui Ye, Yida Zhao, Liwen Zhang, Litu Ou, Ding-Chu Zhang, Xixi Wu, Xinmiao Yu, Jialong Wu, Xinyu Wang, Zile Qiao, Zhen Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Zhi-Qin John Xu, Shuai Wang, Minhao Cheng, Jingren Zhou Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels
Zhepeng Cen, Haolin Chen, Shiyu Wang, Zuxin Liu, Zhiwei Liu, Ding Zhao, Caiming Xiong, Huan Wang, Weiran Yao WebShaper: Agentically Data Synthesizing via Information-Seeking Formalization
Zhengwei Tao, Jialong Wu, Wenbiao Yin, Pu Wu, Junkai Zhang, Baixuan Li, Haiyang Shen, Kuan Li, Liwen Zhang, Xinyu Wang, Wentao Zhang, Yong Jiang, Pengjun Xie, Fei Huang, Jingren Zhou WebWatcher: Breaking New Frontiers of Vision-Language Deep Research Agent
Xinyu Geng, Peng Xia, Zhen Zhang, Xinyu Wang, Qiuchen Wang, Ruixue Ding, Chenxi Wang, Jialong Wu, Kuan Li, Yida Zhao, Huifeng Yin, Yong Jiang, Pengjun Xie, Fei Huang, Huaxiu Yao, Yi R. Fung, Jingren Zhou WebWeaver: Structuring Web-Scale Evidence with Dynamic Outlines for Open-Ended Deep Research
Zijian Li, Xin Guan, Bo Zhang, Shen Huang, Houquan Zhou, Shaopeng Lai, Ming Yan, Yong Jiang, Pengjun Xie, Fei Huang, Jun Zhang, Jingren Zhou Weight Space Representation Learning on Diverse NeRF Architectures
Francesco Ballerini, Pierluigi Zama Ramirez, Luigi Di Stefano, Samuele Salti Weight-Space Linear Recurrent Neural Networks
Roussel Desmond Nzoyem, Nawid Keshtmand, Enrique Crespo-Fernandez, Idriss Tsayem, Raul Santos-Rodriguez, David A.W. Barton, Tom Deakin Welfarist Formulations for Diverse Similarity Search
Siddharth Barman, Nirjhar Das, Shivam Gupta, Kirankumar Shiragur WeTok: Powerful Discrete Tokenization for High-Fidelity Visual Reconstruction
Shaobin Zhuang, Yiwei Guo, Fangyikang Wang, Canmiao Fu, Zhipeng Huang, Zeyue Tian, Xiaohui Li, Ying Zhang, Chen Li, Yali Wang WFR-FM: Simulation-Free Dynamic Unbalanced Optimal Transport
Qiangwei Peng, Zihan Wang, Junda Ying, Yuhao Sun, Qing Nie, Lei Zhang, Tiejun Li, Peijie Zhou What Happens Next? Anticipating Future Motion by Generating Point Trajectories
Gabrijel Boduljak, Laurynas Karazija, Iro Laina, Christian Rupprecht, Andrea Vedaldi What Layers When: Learning to Skip Compute in LLMs with Residual Gates
Filipe Laitenberger, Dawid Jan Kopiczko, Cees G. M. Snoek, Yuki M Asano What Matters for Representation Alignment: Global Information or Spatial Structure?
Jaskirat Singh, Xingjian Leng, Zongze Wu, Liang Zheng, Richard Zhang, Eli Shechtman, Saining Xie What Scales in Cross-Entropy Scaling Law?
Junxi Yan, Zixi Wei, Qingyao Ai, Yiqun Liu, Jingtao Zhan When Agents “Misremember” Collectively: Exploring the Mandela Effect in LLM-Based Multi-Agent Systems
Naen Xu, Hengyu An, Shuo Shi, Jinghuai Zhang, Chunyi Zhou, Changjiang Li, Tianyu Du, Zhihui Fu, Jun Wang, Shouling Ji When Bias Meets Trainability: Connecting Theories of Initialization
Alberto Bassi, Marco Baity-Jesi, Aurelien Lucchi, Carlo Albert, Emanuele Francazi When Does Divide and Conquer Work for Long Context LLM? a Noise Decomposition Framework
Zach Xu, Shang Zhu, Jue Wang, Junlin Wang, Ben Athiwaratkun, Chi Wang, James Zou, Ce Zhang When Flatness Does (Not) Guarantee Adversarial Robustness
Nils Philipp Walter, Linara Adilova, Jilles Vreeken, Michael Kamp When Large Multimodal Models Confront Evolving Knowledge: Challenges and Explorations
Kailin Jiang, Yuntao Du, Yukai Ding, Yuchen Ren, Ning Jiang, Zhi Gao, Zilong Zheng, Lei Liu, Bin Li, Qing Li When LLMs Get Significantly Worse: A Statistical Approach to Detect Model Degradations
Jonas M. Kübler, Kailash Budhathoki, Matthäus Kleindessner, Xiong Zhou, Junming Yin, Ashish Khetan, George Karypis When MLLMs Meet Compression Distortion: A Coding Paradigm Tailored to MLLMs
Jinming Liu, Zhaoyang Jia, Jiahao Li, Bin Li, Xin Jin, Wenjun Zeng, Yan Lu When More Is Less: Understanding Chain-of-Thought Length in LLMs
Yuyang Wu, Yifei Wang, Ziyu Ye, Tianqi Du, Stefanie Jegelka, Yisen Wang When Priors Backfire: On the Vulnerability of Unlearnable Examples to Pretraining
Zhihao Li, Gezheng Xu, Jiale Cai, Ruiyi Fang, Di Wu, Qicheng Lao, Charles Ling, Boyu Wang When Shift Happens - Confounding Is to Blame
Abbavaram Gowtham Reddy, Celia Rubio-Madrigal, Rebekka Burkholz, Krikamol Muandet When Silence Is Golden: Can LLMs Learn to Abstain in Temporal QA and Beyond?
Xinyu Zhou, Chang Jin, Carsten Eickhoff, Zhijiang Guo, Seyed Ali Bahrainian When Style Breaks Safety: Defending LLMs Against Superficial Style Alignment
Yuxin Xiao, Sana Tonekaboni, Walter Gerych, Vinith Menon Suriyakumar, Marzyeh Ghassemi When to Use Graphs in RAG: A Comprehensive Analysis for Graph Retrieval-Augmented Generation
Zhishang Xiang, Chuanjie Wu, Qinggang Zhang, Shengyuan Chen, Zijin Hong, Xiao Huang, Jinsong Su Who Matters Matters: Agent-Specific Conservative Offline MARL
Haosheng Chen, Yun Hua, Wenhao Li, Shiqin Wang, Xiangfeng Wang WholeBodyVLA: Towards Unified Latent VLA for Whole-Body Loco-Manipulation Control
Haoran Jiang, Jin Chen, Qingwen Bu, Li Chen, Modi Shi, Yanjie Zhang, Delong Li, Chuanzhe Suo, Wang Chuang, Zhihui Peng, Hongyang Li Why Adversarially Train Diffusion Models?
Maria Rosaria Briglia, Mujtaba Hussain Mirza, Giuseppe Lisanti, Iacopo Masi Why Attention Patterns Exist: A Unifying Temporal Perspective Analysis
Qingyue Yang, Jie Wang, Xing Li, Yinqi Bai, Tong Xialiang, Hui-Ling Zhen, Jianye Hao, Mingxuan Yuan, Bin Li Why DPO Is a Misspecified Estimator and How to Fix It
Aditya Gopalan, Sayak Ray Chowdhury, Debangshu Banerjee Why Keep Your Doubts to Yourself? Trading Visual Uncertainties Among Vision-Language Models
Jusheng Zhang, Yijia Fan, Kaitong Cai, Jing Yang, Jiawei Yao, Jian Wang, Guanlong Qu, Ziliang Chen, Keze Wang Why Less Is More (Sometimes): A Theory of Data Curation
Elvis Dohmatob, Mohammad Pezeshki, Reyhane Askari-Hemmat Why Prototypes Collapse: Diagnosing and Preventing Partial Collapse in Prototypical Self-Supervised Learning
Gabriel Y. Arteaga, Marius Aasan, Rwiddhi Chakraborty, Martine Hjelkrem-Tan, Thalles Silva, Michael Kampffmeyer, Adín Ramírez Rivera Why Reinforcement Fine-Tuning Enables MLLMs Preserve Prior Knowledge Better: A Data Perspective
Zhihao Zhang, Qiaole Dong, Qi Zhang, Enyu Zhou, Jun Zhao, Zhiheng Xi, Senjie Jin, Xiaoran Fan, Yuhao Zhou, Mingqi Wu, Yanwei Fu, Tao Ji, Tao Gui, Xuanjing Huang, Kai Chen Why We Need New Benchmarks for Local Intrinsic Dimension Estimation
Piotr Tempczyk, Dominik Filipiak, Łukasz Garncarek, Ksawery Smoczyński, Adam Kurpisz Wide-in, Narrow-Out: Revokable Decoding for Efficient and Effective DLLMs
Feng Hong, Geng Yu, Yushi Ye, Haicheng Huang, Huangjie Zheng, Ya Zhang, Yanfeng Wang, Jiangchao Yao WideSearch: Benchmarking Agentic Broad Info-Seeking
Ryan Wong, Jiawei Wang, Junjie Zhao, Li Chen, Yan Gao, Zhanglong, Xuan Zhou, Zuo Wang, Kai Xiang, Ge Zhang, Wenhao Huang, Yang Wang, Wang Ke WINA: Weight Informed Neuron Activation for Accelerating Large Language Model Inference
Sihan Chen, Dan Zhao, Jongwoo Ko, Colby Banbury, Huiping Zhuang, Luming Liang, Pashmina Cameron, Tianyi Chen WinT3R: Window-Based Streaming Reconstruction with Camera Token Pool
Zizun Li, Jianjun Zhou, Yifan Wang, Haoyu Guo, Wenzheng Chang, Yang Zhou, Haoyi Zhu, Junyi Chen, Chunhua Shen, Tong He WithAnyone: Toward Controllable and ID Consistent Image Generation
Hengyuan Xu, Wei Cheng, Peng Xing, Yixiao Fang, Shuhan Wu, Rui Wang, Xianfang Zeng, Daxin Jiang, Gang Yu, Xingjun Ma, Yu-Gang Jiang World-in-World: World Models in a Closed-Loop World
Jiahan Zhang, Muqing Jiang, Nanru Dai, TaiMing Lu, Arda Uzunoglu, Shunchi Zhang, Yana Wei, Jiahao Wang, Vishal M. Patel, Paul Pu Liang, Daniel Khashabi, Cheng Peng, Rama Chellappa, Tianmin Shu, Alan Yuille, Yilun Du, Jieneng Chen World2Minecraft: Occupancy-Driven Simulated Scenes Construction
Lechao Zhang, Haoran Xu, Jingyu Gong, Xuhong Wang, Yuan Xie, Xin Tan WorldEdit: Towards Open-World Image Editing with a Knowledge-Informed Benchmark
Wang Lin, Feng Wang, Majun Zhang, Wentao Hu, Tao Jin, Zhou Zhao, Fei Wu, Jingyuan Chen, Sucheng Ren, Alan Yuille WorldGym: World Model as an Environment for Policy Evaluation
Julian Hector Quevedo, Ansh Kumar Sharma, Yixiang Sun, Varad Suryavanshi, Percy Liang, Sherry Yang WorldSplat: Gaussian-Centric Feed-Forward 4D Scene Generation for Autonomous Driving
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Danyang Li, Tianhao Wu, Bin Lin, Zhenyuan Chen, Yang Zhang, Yuxuan Li, Ming-Ming Cheng, Xiang Li WRING Out the Bias: A Rotation-Based Alternative to Projection Debiasing
Walter Gerych, Cassandra Parent, Quinn Perian, Rafiya Javed, Justin Solomon, Marzyeh Ghassemi WSM: Decay-Free Learning Rate Schedule via Checkpoint Merging for LLM Pre-Training
Changxin Tian, Jiapeng Wang, Qian Zhao, Kunlong Chen, Jia Liu, Ziqi Liu, Jiaxin Mao, Xin Zhao, Zhiqiang Zhang, Jun Zhou X-VLA: Soft-Prompted Transformer as Scalable Cross-Embodiment Vision-Language-Action Model
Jinliang Zheng, Jianxiong Li, Zhihao Wang, Dongxiu Liu, Xirui Kang, Yuchun Feng, Yinan Zheng, Jiayin Zou, Yilun Chen, Jia Zeng, Tai Wang, Ya-Qin Zhang, Jingjing Liu, Xianyuan Zhan xLSTM Scaling Laws: Competitive Performance with Linear Time-Complexity
Maximilian Beck, Kajetan Schweighofer, Sebastian Böck, Sebastian Lehner, Sepp Hochreiter XModBench: Benchmarking Cross-Modal Capabilities and Consistency in Omni-Language Models
Xingrui Wang, Jiang Liu, Chao Huang, Xiaodong Yu, Ze Wang, Ximeng Sun, Jialian Wu, Alan Yuille, Emad Barsoum, Zicheng Liu Your Agent May Misevolve: Emergent Risks in Self-Evolving LLM Agents
Shuai Shao, Qihan Ren, Dongrui Liu, Chen Qian, Boyi Wei, Dadi Guo, Yang JingYi, Xinhao Song, Linfeng Zhang, Weinan Zhang, Jing Shao Your Language Model Secretly Contains Personality Subnetworks
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