ICLRW 2024
656 papers
3D Inverse Design of RNA Using Deep Learning
Christian Andrew Choe, Gina El Nesr, Ana Espeleta, Rhiju Das, Possu Huang A Case for Sparse Positive Alignment of Neural Systems
Jacob S. Prince, Colin Conwell, George A. Alvarez, Talia Konkle A Language Model's Guide Through Latent Space
Dimitri von Rütte, Sotiris Anagnostidis, Gregor Bachmann, Thomas Hofmann A Multi-Grained Symmetric Differential Equation Model for Learning Protein-Ligand Binding Dynamics
Shengchao Liu, Weitao Du, Yanjing Li, Zhuoxinran Li, Vignesh C Bhethanabotla, Nakul Rampal, Omar M. Yaghi, Christian Borgs, Anima Anandkumar, Hongyu Guo, Jennifer T Chayes A StrongREJECT for Empty Jailbreaks
Alexandra Souly, Qingyuan Lu, Dillon Bowen, Tu Trinh, Elvis Hsieh, Sana Pandey, Pieter Abbeel, Justin Svegliato, Scott Emmons, Olivia Watkins, Sam Toyer A Tale of Tails: Model Collapse as a Change of Scaling Laws
Yunzhen Feng, Elvis Dohmatob, Pu Yang, Francois Charton, Julia Kempe A Variational Framework for Local Learning with Probabilistic Latent Representations
David Kappel, Khaleelulla Khan Nazeer, Cabrel Teguemne Fokam, Christian Mayr, Anand Subramoney A-CONECT: Designing AI-Based Conversational Chatbot for Early Dementia Intervention
Junyuan Hong, Wenqing Zheng, Han Meng, Siqi Liang, Anqing Chen, Hiroko H. Dodge, Jiayu Zhou, Zhangyang Wang AceGen: A TorchRL-Based Toolkit for Reinforcement Learning in Generative Chemistry
Albert Bou, Morgan Thomas, Sebastian Dittert, Carles Navarro Ramírez, Maciej Majewski, Ye Wang, Shivam Patel, Gary Tresadern, Mazen Ahmad, Vincent Moens, Woody Sherman, Simone Sciabola, Gianni De Fabritiis Actions Speak Louder than Words: Superficial Fairness Alignment in LLMs
Qiyao Wei, Alex James Chan, Lea Goetz, David Watson, Mihaela van der Schaar Active Learning to Discover Pairwise Genetic Interactions via Representation Learning
Moksh Jain, Alisandra Kaye Denton, Shawn T. Whitfield, Aniket Rajiv Didolkar, Berton Earnshaw, Jason Hartford AdaDemo: Data-Efficient Demonstration Expansion for Generalist Robotic Agent
Tongzhou Mu, Yijie Guo, Jie Xu, Ankit Goyal, Hao Su, Dieter Fox, Animesh Garg Advancing Dna Language Models: The Genomics Long-Range Benchmark
Chia Hsiang Kao, Evan Trop, McKinley Polen, Yair Schiff, Bernardo P de Almeida, Aaron Gokaslan, Thomas Pierrot, Volodymyr Kuleshov AfriHG: News Headline Generation for African Languages
Toyib Ogunremi, Serah sessi Akojenu, Anthony Soronnadi, Olubayo Adekanmbi, David Ifeoluwa Adelani Agent Instructs Large Language Models to Be General Zero-Shot Reasoners
Nicholas Crispino, Kyle Montgomery, Fankun Zeng, Dawn Song, Chenguang Wang Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization
Wenqi Zhang, Ke Tang, Hai Wu, Mengna Wang, Yongliang Shen, Guiyang Hou, Zeqi Tan, Peng Li, Yueting Zhuang, Weiming Lu AgentBoard: An Analytical Evaluation Board of Multi-Turn LLM Agents
Chang Ma, Junlei Zhang, Zhihao Zhu, Cheng Yang, Yujiu Yang, Yaohui Jin, Zhenzhong Lan, Lingpeng Kong, Junxian He Agents: An Open-Source Framework for Autonomous Language Agents
Wangchunshu Zhou, Yuchen Eleanor Jiang, Long Li, Jialong Wu, Tiannan Wang, Shuai Wang, Jiamin Chen, Jintian Zhang, Jing Chen, Xiangru Tang, Peng Cui, Ningyu Zhang, Huajun Chen, Mrinmaya Sachan AI Alignment with Changing and Influenceable Reward Functions
Micah Carroll, Davis Foote, Anand Siththaranjan, Stuart Russell, Anca Dragan AI-Accelerated Biocatalyst Engineering by Rapid Microfluidic Sequence-Function Mapping
Maximilian Gantz, Simon V Mathis, Friederike E. H. Nintzel, Paul J. Zurek, Tanja Knaus, Elie S. Patel, Daniel Boros, Friedrich-Maximilian Weberling, Elliot Medcalf, Jacob Moss, Michael Herger, Tomasz S. Kaminski, Francesco G. Mutti, Pietro Lio, Florian Hollfelder AI-Generated Images Introduce Invisible Relevance Bias to Text-Image Retrieval
Shicheng Xu, Danyang Hou, Liang Pang, Jingcheng Deng, Jun Xu, Huawei Shen, Xueqi Cheng An Analysis of Human Alignment of Latent Diffusion Models
Lorenz Linhardt, Marco Morik, Sidney Bender, Naima Elosegui Borras An Assessment of Model-on-Model Deception
Julius Heitkoetter, Michael Gerovitch, Laker Newhouse An Embodied Generalist Agent in 3D World
Jiangyong Huang, Silong Yong, Xiaojian Ma, Xiongkun Linghu, Puhao Li, Yan Wang, Qing Li, Song-Chun Zhu, Baoxiong Jia, Siyuan Huang Antibody Design with Constrained Bayesian Optimization
Yimeng Zeng, Hunter Elliott, Phillip Maffettone, Peyton Greenside, Osbert Bastani, Jacob R. Gardner Applications of Fourier Neural Operators in the Ifmif-Dones Accelerator
Guillermo Rodríguez-Llorente, Galo Gallardo Romero, Roberto Gómez-Espinosa Martín ArtPrompt: ASCII Art-Based Jailbreak Attacks Against Aligned LLMs
Fengqing Jiang, Zhangchen Xu, Luyao Niu, Zhen Xiang, Bhaskar Ramasubramanian, Bo Li, Radha Poovendran Assessing Prompt Injection Risks in 200+ Custom GPTs
Jiahao Yu, Yuhang Wu, Dong Shu, Mingyu Jin, Sabrina Yang, Xinyu Xing Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
Boyi Wei, Kaixuan Huang, Yangsibo Huang, Tinghao Xie, Xiangyu Qi, Mengzhou Xia, Prateek Mittal, Mengdi Wang, Peter Henderson Asymmetry in Low-Rank Adapters of Foundation Models
Jiacheng Zhu, Kristjan Greenewald, Kimia Nadjahi, Haitz Sáez de Ocáriz Borde, Rickard Brüel Gabrielsson, Leshem Choshen, Marzyeh Ghassemi, Mikhail Yurochkin, Justin Solomon Attacks on Third-Party APIs of Large Language Models
Wanru Zhao, Vidit Khazanchi, Haodi Xing, Xuanli He, Qiongkai Xu, Nicholas Donald Lane Augmentation Alone Leads to Generalization
Runtian Zhai, Bingbin Liu, Andrej Risteski, J Zico Kolter, Pradeep Kumar Ravikumar AutoAct: Automatic Agent Learning from Scratch for QA via Self-Planning
Shuofei Qiao, Ningyu Zhang, Runnan Fang, Yujie Luo, Wangchunshu Zhou, Yuchen Eleanor Jiang, Chengfei Lv, Huajun Chen AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Beibin Li, Erkang Zhu, Li Jiang, Xiaoyun Zhang, Shaokun Zhang, Jiale Liu, Ahmed Hassan Awadallah, Ryen W White, Doug Burger, Chi Wang Autoregressive Activity Prediction for Low-Data Drug Discovery
Johannes Schimunek, Lukas Friedrich, Daniel Kuhn, Günter Klambauer Backward Chaining Circuits in a Transformer Trained on a Symbolic Reasoning Task
Jannik Brinkmann, Abhay Sheshadri, Victor Levoso, Paul Swoboda, Christian Bartelt Bayesian Reward Models for LLM Alignment
Adam X. Yang, Maxime Robeyns, Thomas Coste, Jun Wang, Haitham Bou Ammar, Laurence Aitchison Better (pseudo-)labels for Semi-Supervised Instance Segmentation
Francois Porcher, Camille Couprie, Marc Szafraniec, Jakob Verbeek Beyond A*: Better Planning with Transformers via Search Dynamics Bootstrapping
Lucas Lehnert, Sainbayar Sukhbaatar, Paul McVay, Michael Rabbat, Yuandong Tian Beyond English: Offensive Language Detection in Low-Resource Nigerian Languages
Saminu Mohammad Aliyu, Gregory Maksha Wajiga, Muhammad Murtala, Lukman Jibril Aliyu Beyond Fine-Tuning: LoRA Modules Boost Near- Ood Detection and LLM Security
Etienne Salimbeni, Francesco Craighero, Renata Khasanova, Milos Vasic, Pierre Vandergheynst Beyond Sight: Probing Alignment Between Image Models and Blind V1
Galen Pogoncheff, Jacob Granley, Alfonso Rodil, Leili Soo, Lily Marie Turkstra, Lucas Gil Nadolskis, Arantxa Alfaro Saez, Cristina Soto Sanchez, Eduardo Fernandez Jover, Michael Beyeler Biased Causal Strength Judgments in Humans and Large Language Models
Anita Keshmirian, Moritz Willig, Babak Hemmatian, Ulrike Hahn, Kristian Kersting, Tobias Gerstenberg Bolaa: Benchmarking and Orchestrating LLM Autonomous Agents
Zhiwei Liu, Weiran Yao, Jianguo Zhang, Le Xue, Shelby Heinecke, R N Rithesh, Yihao Feng, Zeyuan Chen, Juan Carlos Niebles, Devansh Arpit, Ran Xu, Phil L Mui, Huan Wang, Caiming Xiong, Silvio Savarese Break It, Imitate It, Fix It: Robustness by Generating Human-like Attacks
Aradhana Sinha, Ananth Balashankar, Ahmad Beirami, Thi Avrahami, Jilin Chen, Alex Beutel Building a Luganda Text-to-Speech Model from Crowdsourced Data
Sulaiman Kagumire, Andrew Katumba, Joyce Nakatumba-Nabende, John Quinn Calibrating Language Models with Adaptive Temperature Scaling
Johnathan Xie, Annie S Chen, Yoonho Lee, Eric Mitchell, Chelsea Finn Can Foundation Models Smell like Humans?
Farzaneh Taleb, Miguel Vasco, Nona Rajabi, Mårten Björkman, Danica Kragic Can Generative Multimodal Models Count to Ten?
Sunayana Rane, Alexander Ku, Jason Michael Baldridge, Ian Tenney, Thomas L. Griffiths, Been Kim Can Large Language Model Agents Simulate Human Trust Behaviors?
Chengxing Xie, Canyu Chen, Feiran Jia, Ziyu Ye, Kai Shu, Adel Bibi, Ziniu Hu, Philip Torr, Bernard Ghanem, Guohao Li Can Large Language Models Reason Robustly with Noisy Rationales?
Zhanke Zhou, Rong Tao, Jianing Zhu, Yiwen Luo, Zengmao Wang, Bo Han cellFlow: A Generative Flow-Based Model for Single-Cell Count Data
Alessandro Palma, Till Richter, Hanyi Zhang, Andrea Dittadi, Fabian J Theis Chain-of-Verification Reduces Hallucination in Large Language Models
Shehzaad Dhuliawala, Mojtaba Komeili, Jing Xu, Roberta Raileanu, Xian Li, Asli Celikyilmaz, Jason E Weston Character-Level Robustness Should Be Revisited
Elias Abad Rocamora, Yongtao Wu, Fanghui Liu, Grigorios Chrysos, Volkan Cevher Clifford Neural Operators on Atmospheric Data Influenced Partial Differential Equations
Sujit Roy, Wei Ji Leong, Rajat Shinde, Christopher E. Phillips, Ankur Kumar, Manil Maskey, Rahul Ramachandran CodeIt: Self-Improving Language Models with Prioritized Hindsight Replay
Natasha Butt, Blazej Manczak, Auke Wiggers, Corrado Rainone, David W. Zhang, Michaël Defferrard, Taco Cohen Coercing LLMs to Do and Reveal (almost) Anything
Jonas Geiping, Alex Stein, Manli Shu, Khalid Saifullah, Yuxin Wen, Tom Goldstein Collaborative LLM-Agents for Editable Driving Scene Simulation
Yuxi Wei, Zi Wang, Yifan Lu, Chenxin Xu, Changxing Liu, Hao Zhao, Siheng Chen, Yanfeng Wang Comparing Abstraction in Humans and Large Language Models Using Multimodal Serial Reproduction
Sreejan Kumar, Raja Marjieh, Byron Zhang, Declan Iain Campbell, Michael Y. Hu, Umang Bhatt, Brenden Lake, Thomas L. Griffiths Comparing and Contrasting Deep Learning Weather Prediction Backbones on Navier-Stokes Dynamics
Matthias Karlbauer, Danielle C. Maddix, Abdul Fatir Ansari, Boran Han, Gaurav Gupta, Bernie Wang, Andrew Stuart, Michael W. Mahoney Composing Knowledge and Compression Interventions for Language Models
Arinbjörn Kolbeinsson, Tianjin Huang, Shanghua Gao, Shiwei Liu, Jonathan Richard Schwarz, Anurag Jayant Vaidya, Faisal Mahmood, Marinka Zitnik, Tianlong Chen, Thomas Hartvigsen Conditional Transformer Fine-Tuning by Adaptive Layer Skipping
Xingjian Zhang, Jiaxi Tang, Yang Liu, Xinyang Yi, Li Wei, Lichan Hong, Qiaozhu Mei, Ed H. Chi Confidential-DPproof : Confidential Proof of Differentially Private Training
Ali Shahin Shamsabadi, Gefei Tan, Tudor Ioan Cebere, Aurélien Bellet, Hamed Haddadi, Nicolas Papernot, Xiao Wang, Adrian Weller Conformalized Physics-Informed Neural Networks
Lena Podina, Mahdi Torabi Rad, Mohammad Kohandel Contrastive Poincaré Maps for Single-Cell Data Analysis
Nithya Bhasker, Hattie Chung, Louis Boucherie, Vladislav Kim, Stefanie Speidel, Melanie Weber Contrastive RNA Representation Learning Through Maximizing Mutual Information Between Splice Isoforms
Philip Fradkin, Ruian Shi, Keren Isaev, Caitlin Fiona Harrigan, Quaid Morris, Bo Wang, Brendan Frey, Leo J Lee Controlling Large Language Model-Based Agents for Large-Scale Decision-Making: An Actor-Critic Approach
Bin Zhang, Hangyu Mao, Jingqing Ruan, Ying Wen, Yang Li, Shao Zhang, Zhiwei Xu, Dapeng Li, Ziyue Li, Rui Zhao, Guoliang Fan, Lijuan Li CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution
Alex Gu, Baptiste Roziere, Hugh James Leather, Armando Solar-Lezama, Gabriel Synnaeve, Sida Wang Data Forging Is Harder than You Think
Mohamed Suliman, Swanand Kadhe, Anisa Halimi, Douglas Leith, Nathalie Baracaldo, Ambrish Rawat Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning
Wuyang Chen, Jialin Song, Pu Ren, Shashank Subramanian, Dmitriy Morozov, Michael W. Mahoney Decision-Oriented Dialogue for Human-AI Collaboration
Jessy Lin, Nicholas Tomlin, Jacob Andreas, Jason Eisner Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient LLMs Under Compression
Junyuan Hong, Jinhao Duan, Chenhui Zhang, Zhangheng Li, Chulin Xie, Kelsey Lieberman, James Diffenderfer, Brian R. Bartoldson, Ajay Kumar Jaiswal, Kaidi Xu, Bhavya Kailkhura, Dan Hendrycks, Dawn Song, Zhangyang Wang, Bo Li Deep Learning and Direct Sequencing of Labeled RNA Captures Transcriptome Dynamics
Vlastimil Martinek, Jessica Martin, Cedric Belair, Matthew John Payea, Sulochan Malla, Panagiotis Alexiou, Manolis Maragkakis DELE: Data Efficient LLM Evaluation
Gayathri Saranathan, Mahammad Parwez Alam, James Lim, Suparna Bhattacharya, Soon Yee Wong, Martin Foltin, Cong Xu Differentiable Optimization of Similarity Scores Between Models and Brains
Nathan Cloos, Markus Siegel, Scott L. Brincat, Earl K. Miller, Christopher J Cueva Differentially Private Latent Diffusion Models
Saiyue Lyu, Michael F Liu, Margarita Vinaroz, Mijung Park Differentially Private Synthetic Data via Foundation Model APIs 2: Text
Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu, Huseyin A Inan, Harsha Nori, Haotian Jiang, Huishuai Zhang, Yin Tat Lee, Bo Li, Sergey Yekhanin Dirichlet Flow Matching with Applications to DNA Sequence Design
Hannes Stark, Bowen Jing, Chenyu Wang, Gabriele Corso, Bonnie Berger, Regina Barzilay, Tommi Jaakkola Distributed Inference Performance Optimization for LLMs on CPUs
Pujiang He, Shan Zhou, Changqing Li, Wenhuan Huang, Weifei Yu, Duyi Wang, Chen Meng, Sheng Gui DNA Language Models Identify Variants Predictive Across the Human Phenome
Benjamin Wild, Julius Upmeier zu Belzen, Luis Herrmann, Paul Kittner, Roland Eils Drug Discovery with Dynamic Goal-Aware Fragments
Seul Lee, Seanie Lee, Kenji Kawaguchi, Sung Ju Hwang EASYTOOL: Enhancing LLM-Based Agents with Concise Tool Instruction
Siyu Yuan, Kaitao Song, Jiangjie Chen, Xu Tan, Yongliang Shen, Kan Ren, Dongsheng Li, Deqing Yang Efficient Causal Graph Discovery Using Large Language Models
Thomas Jiralerspong, Xiaoyin Chen, Yash More, Vedant Shah, Yoshua Bengio Efficient GPU-Accelerated Global Optimization for Inverse Problems
Utkarsh, Vaibhav Kumar Dixit, Julian Samaroo, Avik Pal, Alan Edelman, Christopher Vincent Rackauckas Efficient Human-AI Coordination via Preparatory Language-Based Convention
Cong Guan, Lichao Zhang, Chunpeng Fan, Yi-Chen Li, Feng Chen, Lihe Li, Yunjia Tian, Lei Yuan, Yang Yu Efficient Private Federated Non-Convex Optimization with Shuffled Model
Lingxiao Wang, Xingyu Zhou, Kumar Kshitij Patel, Lawrence Tang, Aadirupa Saha EHRAgent: Code Empowers Large Language Models for Few-Shot Complex Tabular Reasoning on Electronic Health Records
Wenqi Shi, Ran Xu, Yuchen Zhuang, Yue Yu, Jieyu Zhang, Hang Wu, Yuanda Zhu, Joyce C. Ho, Carl Yang, May Dongmei Wang EkoHate: Offensive and Hate Speech Detection for Code-Switched Political Discussions on Nigerian Twitter
Comfort Eseohen Ilevbare, Jesujoba Oluwadara Alabi, David Ifeoluwa Adelani, Bakare Firdous Damilola, Abiola Oluwatoyin Bunmi, ADEYEMO Oluwaseyi Adesina Empowering Autonomous Driving with Large Language Models: A Safety Perspective
Yixuan Wang, Ruochen Jiao, Simon Sinong Zhan, Chengtian Lang, Chao Huang, Zhaoran Wang, Zhuoran Yang, Qi Zhu Energy Minimizing-Based Token Merging for Accelerating Transformers
Hoai-Chau Tran, Duy Minh Ho Nguyen, Manh-Duy Nguyen, Ngan Hoang Le, Binh T. Nguyen Enhancing Amharic-Llama: Integrating Task Specific and Generative Datasets
Israel Abebe Azime, Mitiku Yohannes Fuge, Atnafu Lambebo Tonja, Tadesse Destaw Belay, Aman Kassahun Wassie, Eyasu Shiferaw Jada, Yonas Chanie, Walelign Tewabe Sewunetie, Seid Muhie Yimam Equivariant Neural Fields for Symmetry Preserving Continous PDE Forecasting
David M Knigge, David Wessels, Riccardo Valperga, Samuele Papa, Stratis Gavves, Erik J Bekkers Evaluating Large Language Models in an Emerging Domain: A Pilot Study in Decentralized Finance
Joshua Carter Pearlson, Xiaoyuan Liu, Chengsong Huang, Kripa Ann George, Dawn Song, Chenguang Wang Evaluating Model Bias Requires Characterizing Its Mistakes
Isabela Albuquerque, Jessica Schrouff, David Warde-Farley, Ali Taylan Cemgil, Sven Gowal, Olivia Wiles Evolution-Inspired Loss Functions for Protein Representation Learning
Chengyue Gong, Adam Klivans, James Madigan Loy, Tianlong Chen, Qiang Liu, Daniel Jesus Diaz Executable Code Actions Elicit Better LLM Agents
Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji Explicit Knowledge Factorization Meets In-Context Learning: What Do We Gain?
Sarthak Mittal, Eric Elmoznino, Leo Gagnon, Sangnie Bhardwaj, Dhanya Sridhar, Guillaume Lajoie Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis
Lukas Struppek, Dominik Hintersdorf, Felix Friedrich, Manuel Brack, Patrick Schramowski, Kristian Kersting Exploring Iterative Enhancement for Improving Learnersourced Multiple-Choice Question Explanations with Large Language Models
Qiming Bao, Juho Leinonen, Alex Yuxuan Peng, Wanjun Zhong, Gael Gendron, Timothy Pistotti, Alice Huang, Paul Denny, Michael Witbrock, Jiamou Liu Exploring the Adversarial Capabilities of Large Language Models
Lukas Struppek, Minh Hieu Le, Dominik Hintersdorf, Kristian Kersting Exploring the Robustness of In-Context Learning with Noisy Labels
Chen Cheng, Xinzhi Yu, Haodong Wen, Jingsong Sun, Guanzhang Yue, Yihao Zhang, Zeming Wei Extension of Physics-Informed Neural Networks to Solving Parameterized PDEs
Woojin Cho, Minju Jo, Haksoo Lim, Kookjin Lee, Dongeun Lee, Sanghyun Hong, Noseong Park Fine-Tuning Protein Language Models with Deep Mutational Scanning Improves Variant Effect Prediction
Aleix Lafita, Ferran Gonzalez, Mahmoud Hossam, Paul Smyth, Jacob Deasy, Ari L. Allyn-Feuer, Daniel D Seaton, Stephen Young FinMem: A Performance-Enhanced LLM Trading Agent with Layered Memory and Character Design
Haohang Li, Yangyang Yu, Zhi Chen, Yuechen Jiang, Yang Li, Denghui Zhang, Rong Liu, Jordan W. Suchow, Khaldoun Khashanah FLASK: Fine-Grained Language Model Evaluation Based on Alignment Skill Sets
Seonghyeon Ye, Doyoung Kim, Sungdong Kim, Hyeonbin Hwang, Seungone Kim, Yongrae Jo, James Thorne, Juho Kim, Minjoon Seo Galerkin Meets Laplace: Fast Uncertainty Estimation in Neural PDEs
Christian Jimenez Beltran, Antonio Vergari, Aretha L Teckentrup, Konstantinos C. Zygalakis GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection
Jiawei Zhao, Zhenyu Zhang, Beidi Chen, Zhangyang Wang, Anima Anandkumar, Yuandong Tian Generative Humanization for Therapeutic Antibodies
Cade W Gordon, Aniruddh Raghu, Peyton Greenside, Hunter Elliott Generative PDE Control
Long Wei, Peiyan Hu, Ruiqi Feng, Yixuan Du, Tao Zhang, Rui Wang, Yue Wang, Zhi-Ming Ma, Tailin Wu Generative Representational Instruction Tuning
Niklas Muennighoff, Hongjin Su, Liang Wang, Nan Yang, Furu Wei, Tao Yu, Amanpreet Singh, Douwe Kiela Geo-Semantic Analysis of Medical Research Trends in Nigeria
Ahmad Ibrahim Ismail, Anthony Soronnadi, Olubayo Adekanmbi, Bashirudeen Opeyemi Ibrahim, David Olubukola Akanji GeoDirDock: Guiding Docking Along Geodesic Paths
Raúl Miñán, Javier Gallardo Sáenz, Alvaro Ciudad Serrano, Alexis Molina GNN-VPA: A Variance-Preserving Aggregation Strategy for Graph Neural Networks
Lisa Schneckenreiter, Richard Freinschlag, Florian Sestak, Johannes Brandstetter, Günter Klambauer, Andreas Mayr GPT-4V(ision) Is a Generalist Web Agent, if Grounded
Boyuan Zheng, Boyu Gou, Jihyung Kil, Huan Sun, Yu Su Gradient-Congruity Guided Federated Sparse Training
Chris XING Tian, Yibing Liu, Haoliang Li, Ray C.C. Cheung, Shiqi Wang Green Fluorescent Protein Engineering with a Biophysics-Based Protein Language Model
Sam Gelman, Bryce Johnson, Chase R. Freschlin, Sameer D'Costa, Anthony Gitter, Philip Romero Guarding Multiple Secrets: Enhanced Summary Statistic Privacy for Data Sharing
Shuaiqi Wang, Rongzhe Wei, Mohsen Ghassemi, Eleonora Kreacic, Vamsi K. Potluru Guided Autoregressive Diffusion Models with Applications to PDE Simulation
Federico Bergamin, Cristiana Diaconu, Aliaksandra Shysheya, Paris Perdikaris, José Miguel Hernández-Lobato, Richard E. Turner, Emile Mathieu HADS: Hardware-Aware Deep Subnetworks
Francesco Corti, Balz Maag, Joachim Schauer, Ulrich Pferschy, Olga Saukh Hessian Reparametrization for Coarse-Grained Energy Minimization
Nima Dehmamy, Csaba Both, Jeet Mohapatra, Subhro Das, Tommi Jaakkola Hierarchical Auto-Organizing System for Open-Ended Multi-Agent Navigation
Zhonghan Zhao, Kewei Chen, Dongxu Guo, Wenhao Chai, Tian Ye, Yanting Zhang, Gaoang Wang How Aligned Are Different Alignment Metrics?
Jannis Ahlert, Thomas Klein, Felix A. Wichmann, Robert Geirhos How Far Are We from Intelligent Visual Deductive Reasoning?
Yizhe Zhang, He Bai, Ruixiang Zhang, Jiatao Gu, Shuangfei Zhai, Joshua M. Susskind, Navdeep Jaitly How to Craft Backdoors with Unlabeled Data Alone?
Yifei Wang, Wenhan Ma, Stefanie Jegelka, Yisen Wang How to Parameterize Asymmetric Quantization Ranges for Quantization-Aware Training
Jaeseong You, Minseop Park, Markus Nagel, Kyunggeun Lee, Seokjun An, Chirag S Patel How Well Do Generative Protein Models Generate?
Han Spinner, Aaron W Kollasch, Debora Susan Marks How Well Does GPT-4V(ision) Adapt to Distribution Shifts? a Preliminary Investigation
Zhongyi Han, Guanglin Zhou, Rundong He, Jindong Wang, Tailin Wu, Yilong Yin, Salman Khan, Lina Yao, Tongliang Liu, Kun Zhang Human-like Geometric Abstraction in Large Pre-Trained Neural Networks
Declan Iain Campbell, Sreejan Kumar, Tyler Giallanza, Jonathan D. Cohen, Thomas L. Griffiths If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents
Ke Yang, Jiateng Liu, John Wu, Chaoqi Yang, Yi Fung, Sha Li, Zixuan Huang, Xu Cao, Xingyao Wang, Heng Ji, ChengXiang Zhai Implicit Two-Tower Policies
Yunfan Zhao, Alvin Pan, Krzysztof Marcin Choromanski, Deepali Jain, Vikas Sindhwani Improved Motif-Scaffolding with SE(3) Flow Matching
Jason Yim, Andrew Campbell, Emile Mathieu, Andrew Y. K. Foong, Michael Gastegger, Jose Jimenez-Luna, Sarah Lewis, Victor Garcia Satorras, Bastiaan S. Veeling, Frank Noe, Regina Barzilay, Tommi Jaakkola Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty
Chen Ling, Xujiang Zhao, Xuchao Zhang, Yanchi Liu, Wei Cheng, Haoyu Wang, Zhengzhang Chen, Mika Oishi, Takao Osaki, Katsushi Matsuda, Liang Zhao, Haifeng Chen Instruction Tuning for Secure Code Generation
Jingxuan He, Mark Vero, Gabriela Krasnopolska, Martin Vechev Integrating Kernel Methods and Deep Neural Networks for Solving PDEs
Carlos Mora, Amin Yousefpour, Shirin Hosseinmardi, Ramin Bostanabad IntentGPT: Few-Shot Intent Discovery with Large Language Models
Juan A. Rodriguez, Nicholas Botzer, David Vazquez, Christopher Pal, Marco Pedersoli, Issam H. Laradji Inter-Animal Transforms as a Guide to Model-Brain Comparison
Imran Thobani, Javier Sagastuy-Brena, Aran Nayebi, Rosa Cao, Daniel LK Yamins Investigating the Effects of Plant Diversity on Soil Thermal Diffusivity Using Physics- Informed Neural Networks
Gideon Stein, Sai Karthikeya Vemuri, Yuanyuan Huang, Anne Ebeling, Nico Eisenhauer, Maha Shadaydeh, Joachim Denzler Is It Possible to Edit Large Language Models Robustly?
Xinbei Ma, Tianjie Ju, Jiyang Qiu, Zhuosheng Zhang, Hai Zhao, Lifeng Liu, Yulong Wang Is My "red" Your "red"?: Unsupervised Alignment of Qualia Structures via Optimal Transport
Genji Kawakita, Ariel Mikhael Zeleznikow-Johnston, Ken Takeda, Naotsugu Tsuchiya, Masafumi Oizumi JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework
Artur Toshev, Harish Ramachandran, Jonas A. Erbesdobler, Gianluca Galletti, Johannes Brandstetter, Nikolaus A. Adams Joint Embedding of Transcriptomes and Text Enables Interactive Single-Cell RNA-Seq Data Exploration via Natural Language
Moritz Schaefer, Peter Peneder, Daniel Malzl, Anna Hakobyan, Varun S. Sharma, Thomas Krausgruber, Jörg Menche, Eleni Tomazou, Christoph Bock Keeping LLMs Aligned After Fine-Tuning: The Crucial Role of Prompt Templates
Kaifeng Lyu, Haoyu Zhao, Xinran Gu, Dingli Yu, Anirudh Goyal, Sanjeev Arora L3GO: Language Agents with Chain-of-3D-Thoughts for Generating Unconventional Objects
Yutaro Yamada, Khyathi Chandu, Bill Yuchen Lin, Jack Hessel, Ilker Yildirim, Yejin Choi Label-Free Neural Semantic Image Synthesis
Jiayi Wang, Kevin Alexander Laube, Yumeng Li, Jan Hendrik Metzen, Shin-I Cheng, Julio Borges, Anna Khoreva Langevin Unlearning
Eli Chien, Haoyu Peter Wang, Ziang Chen, Pan Li LangProp: A Code Optimization Framework Using Large Language Models Applied to Driving
Shu Ishida, Gianluca Corrado, George Fedoseev, Hudson Yeo, Lloyd Russell, Jamie Shotton, Joao F. Henriques, Anthony Hu Language-Guided Skill Learning with Temporal Variational Inference
Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Xingdi Yuan Large Language Models Are Anonymizers
Robin Staab, Mark Vero, Mislav Balunovic, Martin Vechev Large Language Models Are Not Strong Abstract Reasoners yet
Gael Gendron, Qiming Bao, Michael Witbrock, Gillian Dobbie Learning and Aligning Structured Random Feature Networks
Vivian White, Muawiz Sajjad Chaudhary, Guy Wolf, Guillaume Lajoie, Kameron Decker Harris Learning Iterative Algorithms to Solve PDEs.
Lise Le Boudec, Emmanuel de Bezenac, Louis Serrano, Yuan Yin, Patrick Gallinari Learning Stochastic Dynamics from Data
Ziheng Guo, Ming Zhong, Igor Cialenco Learning the Delay in Delay Differential Equations
Robert Stephany, Maria Antonia Oprea, Gabriella Torres Nothaft, Mark Walth, Arnaldo Rodriguez-Gonzalez, William A Clark Learning to Abstract Visuomotor Mappings Using Meta-Reinforcement Learning
Carlos A. Velazquez-Vargas, Isaac Ray Christian, Jordan Taylor, Sreejan Kumar Less Is More: Discovering Concise Network Explanations
Neehar Kondapaneni, Markus Marks, Oisin Mac Aodha, Pietro Perona LESS: Selecting Influential Data for Targeted Instruction Tuning
Mengzhou Xia, Sadhika Malladi, Suchin Gururangan, Sanjeev Arora, Danqi Chen Leveraging Context in Jailbreaking Attacks
Yixin Cheng, Markos Georgopoulos, Volkan Cevher, Grigorios Chrysos Limitations of Agents Simulated by Predictive Models
Raymond Douglas, Jacek Karwowski, Chan Bae, Andis Draguns, Victoria Krakovna LLF-Bench: Benchmark for Interactive Learning from Language Feedback
Ching-An Cheng, Andrey Kolobov, Dipendra Misra, Allen Nie, Adith Swaminathan LLM Reasoners: New Evaluation, Library, and Analysis of Step-by-Step Reasoning with Large Language Models
Shibo Hao, Yi Gu, Haotian Luo, Tianyang Liu, Xiyan Shao, Xinyuan Wang, Shuhua Xie, Haodi Ma, Adithya Samavedhi, Qiyue Gao, Zhen Wang, Zhiting Hu LongForm: Effective Instruction Tuning with Reverse Instructions
Abdullatif Köksal, Timo Schick, Anna Korhonen, Hinrich Schuetze Low N, High N Protein Engineering
G J Abrahams, Carlos Outeiral, Harrison Steel, Charlotte Deane Luganda Speech Intent Recognition for IoT Applications
John Trevor Kasule, Sudi Murindanyi, Elvis Mugume, Andrew Katumba Lumos: Learning Agents with Unified Data, Modular Design, and Open-Source LLMs
Da Yin, Faeze Brahman, Abhilasha Ravichander, Khyathi Chandu, Kai-Wei Chang, Yejin Choi, Bill Yuchen Lin Machine Learning of Force Fields Towards Molecular Dynamics Simulations of Proteins at DFT Accuracy
Christoph Brunken, Sebastien Boyer, Mustafa Omar, Bakary N'tji Diallo, Karim Beguir, Nicolas Lopez Carranza, Oliver Bent MARS: A Benchmark for Multi-LLM Algorithmic Routing System
Qitian Jason Hu, Jacob Bieker, Xiuyu Li, Nan Jiang, Benjamin Keigwin, Gaurav Ranganath, Kurt Keutzer, Shriyash Kaustubh Upadhyay MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs
Yavuz Faruk Bakman, Duygu Nur Yaldiz, Baturalp Buyukates, Chenyang Tao, Dimitrios Dimitriadis, Salman Avestimehr Massive Activations in Large Language Models
Mingjie Sun, Xinlei Chen, J Zico Kolter, Zhuang Liu MathChat: Converse to Tackle Challenging Math Problems with LLM Agents
Yiran Wu, Feiran Jia, Shaokun Zhang, Hangyu Li, Erkang Zhu, Yue Wang, Yin Tat Lee, Richard Peng, Qingyun Wu, Chi Wang Measuring Human-CLIP Alignment at Different Abstraction Levels
Pablo Hernández-Cámara, Jorge Vila-Tomás, Jesus Malo, Valero Laparra Mechanistically Analyzing the Effects of Fine-Tuning on Procedurally Defined Tasks
Samyak Jain, Robert Kirk, Ekdeep Singh Lubana, Robert P. Dick, Hidenori Tanaka, Tim Rocktäschel, Edward Grefenstette, David Krueger MedAgents: Large Language Models as Collaborators for Zero-Shot Medical Reasoning
Xiangru Tang, Anni Zou, Zhuosheng Zhang, Ziming Li, Yilun Zhao, Xingyao Zhang, Arman Cohan, Mark Gerstein Memorization and Privacy Risks in Domain-Specific Large Language Models
Xinyu Yang, Zichen Wen, Wenjie Qu, Zhaorun Chen, Zhiying Xiang, Beidi Chen, Huaxiu Yao MindEye2: Shared-Subject Models Enable fMRI-to-Image with 1 Hour of Data
Paul Steven Scotti, Mihir Tripathy, Cesar Torrico, Reese Kneeland, Tong Chen, Ashutosh Narang, Charan Santhirasegaran, Jonathan Xu, Thomas Naselaris, Kenneth A. Norman, Tanishq Mathew Abraham Minimizing Structural Vibrations via Guided Diffusion Design Optimization
Jan van Delden, Julius Schultz, Christopher Blech, Sabine C. Langer, Timo Lüddecke Mobile-Agent: Autonomous Multi-Modal Mobile Device Agent with Visual Perception
Junyang Wang, Haiyang Xu, Jiabo Ye, Ming Yan, Weizhou Shen, Ji Zhang, Fei Huang, Jitao Sang Modality-Agnostic fMRI Decoding of Vision and Language
Mitja Nikolaus, Milad Mozafari, Nicholas Asher, Leila Reddy, Rufin VanRullen Model & Data Insights Using Pre-Trained Language Models
Saeid Asgari, Aliasghar Khani, Amir Hosein Khasahmadi, Aditya Sanghi, Karl D.D. Willis, Ali Mahdavi Amiri Model-Based Reinforcement Learning for Protein Backbone Design
Frederic Renard, Cyprien Courtot, Alfredo Reichlin, Oliver Bent Multi-ContrastiveVAE Disentangles Perturbation Effects in Single Cell Images from Optical Pooled Screens
Zitong Jerry Wang, Romain Lopez, Jan-Christian Huetter, Takamasa Kudo, Heming Yao, Philipp Hanslovsky, Burkhard Hoeckendorf, Rahul Ram Mohan, David Richmond, Aviv Regev Multi-Model Evaluation with Labeled & Unlabeled Data
Divya M Shanmugam, Shuvom Sadhuka, Manish Raghavan, John Guttag, Bonnie Berger, Emma Pierson Multi-Resolution Graph Diffusion
Mahdi Karami, Igor Krawczuk, Volkan Cevher Multi-Source Fully Test-Time Adaptation
Yuntao Du., Siqi Luo, Yi Xin, MingCai Chen, Shuai Feng, Mujie Zhang, Chongjun Wang NaijaRC: A Multi-Choice Reading Comprehension Dataset for Nigerian Languages
Anuoluwapo Aremu, Jesujoba Oluwadara Alabi, Daud Abolade, Nkechinyere Faith Aguobi, Shamsuddeen Hassan Muhammad, David Ifeoluwa Adelani Neural ODE for Multi-Channel Attribution
Yudi Zhang, Oshry Ben-Harush, Xin Liang, Siyu Zhu Neural Operators with Localized Integral and Differential Kernels
Miguel Liu-Schiaffini, Julius Berner, Boris Bonev, Thorsten Kurth, Kamyar Azizzadenesheli, Anima Anandkumar Neural Retrievers Are Biased Towards LLM-Generated Content
Sunhao Dai, Yuqi Zhou, Liang Pang, Weihao Liu, Xiaolin Hu, Yong Liu, Xiao Zhang, Gang Wang, Jun Xu Neural SPH: Improved Neural Modeling of Lagrangian Fluid Dynamics
Artur Toshev, Jonas A. Erbesdobler, Nikolaus A. Adams, Johannes Brandstetter NGLUEni: Benchmarking and Adapting Pretrained Language Models for Nguni Languages
Francois Meyer, Haiyue Song, Abhisek Chakrabarty, Jan Buys, Raj Dabre, Hideki Tanaka On Convex Decision Regions in Deep Network Representations
Lenka Tětková, Thea Brüsch, Teresa Scheidt, Fabian Mager, Rasmus Aagaard, Jonathan Foldager, Tommy Sonne Alstrøm, Lars Kai Hansen On Prompt-Driven Safeguarding for Large Language Models
Chujie Zheng, Fan Yin, Hao Zhou, Fandong Meng, Jie Zhou, Kai-Wei Chang, Minlie Huang, Nanyun Peng On the Road with GPT-4V(ision): Explorations of Utilizing Visual-Language Model as Autonomous Driving Agent
Licheng Wen, Xuemeng Yang, Daocheng Fu, Xiaofeng Wang, Pinlong Cai, Xin Li, Tao Ma, Yingxuan Li, Linran Xu, Dengke Shang, Zheng Zhu, Shaoyan Sun, Yeqi Bai, Xinyu Cai, Min Dou, Shuanglu Hu, Botian Shi, Yu Qiao On the Scalability of GNNs for Molecular Graphs
Maciej Sypetkowski, Frederik Wenkel, Farimah Poursafaei, Nia Dickson, Karush Suri, Philip Fradkin, Dominique Beaini Open-TI: Open Traffic Intelligence with Augmented Language Model
Longchao Da, Kuan-Ru Liou, Tiejin Chen, Xuesong Zhou, Xiangyong Luo, Yezhou Yang, Hua Wei OpenAgents: An Open Platform for Language Agents in the Wild
Tianbao Xie, Fan Zhou, Zhoujun Cheng, Peng Shi, Luoxuan Weng, Yitao Liu, Toh Jing Hua, Junning Zhao, Qian Liu, Che Liu, Zeyu Liu, Yiheng Xu, Hongjin Su, Dongchan Shin, Caiming Xiong, Tao Yu OpenFedLLM: Training Large Language Models on Decentralized Private Data via Federated Learning
Rui Ye, WenHao Wang, Jingyi Chai, Dihan Li, Zexi Li, Yinda Xu, Yaxin Du, Yanfeng Wang, Siheng Chen Optimizing Genetically-Driven Synaptogenesis
Tommaso Boccato, Matteo Ferrante, Nicola Toschi OS-Copilot: Towards Generalist Computer Agents with Self-Improvement
Zhiyong Wu, Chengcheng Han, Zichen Ding, Zhenmin Weng, Zhoumianze Liu, Shunyu Yao, Tao Yu, Lingpeng Kong Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity
Lu Yin, You Wu, Zhenyu Zhang, Cheng-Yu Hsieh, Yaqing Wang, Yiling Jia, Gen Li, Ajay Kumar Jaiswal, Mykola Pechenizkiy, Yi Liang, Michael Bendersky, Zhangyang Wang, Shiwei Liu PANDORA: Detailed LLM Jailbreaking via Collaborated Phishing Agents with Decomposed Reasoning
Zhaorun Chen, Zhuokai Zhao, Wenjie Qu, Zichen Wen, Zhiguang Han, Zhihong Zhu, Jiaheng Zhang, Huaxiu Yao PC-LoRA: Progressive Model Compression with Low Rank Adaptation
Injoon Hwang, HaeWon Park, Jooyoung Yang, SunJae Maeng, Youngwan Lee Perplexed by Perplexity: Perplexity-Based Pruning with Small Reference Models
Zachary Ankner, Cody Blakeney, Kartik Sreenivasan, Max Marion, Matthew L Leavitt, Mansheej Paul Personalized Differential Privacy for Ridge Regression
Krishna Acharya, Franziska Boenisch, Rakshit Naidu, Juba Ziani Physics-Constrained DeepONet for Surrogate CFD Models: A Curved Backward-Facing Step Case
Anas Jnini, Harshinee Goordoyal, Sujal Dave, Artem Korobenko, Flavio Vella, Katharine Fraser Physics-Informed Neural Networks for Sampling
Jingtong Sun, Julius Berner, Kamyar Azizzadenesheli, Anima Anandkumar PointSAGE: Mesh-Independent Superresolution Approach to Fluid Flow Predictions
Rajat Sarkar, Krishna Sai Sudhir Aripirala, Vishal Sudam Jadhav, Sagar Srinivas Sakhinana, Venkataramana Runkana PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs
Charlie Hou, Akshat Shrivastava, Hongyuan Zhan, Rylan Conway, Trang Le, Adithya Sagar, Giulia Fanti, Daniel Lazar Pre-Training Concept Frequency Is Predictive of CLIP Zero-Shot Performance
Vishaal Udandarao, Ameya Prabhu, Philip Torr, Adel Bibi, Samuel Albanie, Matthias Bethge Precision-Driven Low-Resource Speech Synthesis for Bangla Text-to-Speech System
Tabassum Sadia Shahjahan, Md. Ismail Hossain, Kazi Rafat, Mohammad Ruhul Amin, Fuad Rahman, Nabeel Mohammed Preference-Conditioned Language-Guided Abstraction
Andi Peng, Andreea Bobu, Belinda Z. Li, Theodore Sumers, Ilia Sucholutsky, Nishanth Kumar, Thomas L. Griffiths, Julie Shah Prioritizing Safeguarding over Autonomy: Risks of LLM Agents for Science
Xiangru Tang, Qiao Jin, Kunlun Zhu, Tongxin Yuan, Yichi Zhang, Wangchunshu Zhou, Meng Qu, Yilun Zhao, Jian Tang, Zhuosheng Zhang, Arman Cohan, Zhiyong Lu, Mark Gerstein Privacy-Preserving Fine-Tuning of Large Language Models Through Flatness
Tiejin Chen, Longchao Da, Huixue Zhou, Pingzhi Li, Kaixiong Zhou, Tianlong Chen, Hua Wei Programmable Protein Stabilization with Language Model-Derived Peptide Guides
Lauren Hong, Tianzheng Ye, Tian Zi Wang, Divya Srijay, Lin Zhao, Sophia Vincoff, Tianlai Chen, Matthew DeLisa, Pranam Chatterjee Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines
Yuchen Li, Alexandre Kirchmeyer, Aashay Mehta, Yilong Qin, Boris Dadachev, Kishore A Papineni, Sanjiv Kumar, Andrej Risteski Prompt Optimization with Logged Bandit Data
Haruka Kiyohara, Yuta Saito, Daniel Yiming Cao, Thorsten Joachims Questioning the Survey Responses of Large Language Models
Ricardo Dominguez-Olmedo, Moritz Hardt, Celestine Mendler-Dünner R-Judge: Benchmarking Safety Risk Awareness for LLM Agents
Tongxin Yuan, Zhiwei He, Lingzhong Dong, Yiming Wang, Ruijie Zhao, Tian Xia, Lizhen Xu, Binglin Zhou, Li Fangqi, Zhuosheng Zhang, Rui Wang, Gongshen Liu R2E: Turning Any GitHub Repository into a Programming Agent Environment
Naman Jain, Manish Shetty, Tianjun Zhang, King Han, Koushik Sen, Ion Stoica Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
Mikayel Samvelyan, Sharath Chandra Raparthy, Andrei Lupu, Eric Hambro, Aram H. Markosyan, Manish Bhatt, Yuning Mao, Minqi Jiang, Jack Parker-Holder, Jakob Nicolaus Foerster, Tim Rocktäschel, Roberta Raileanu Rambla: A Framework for Evaluating the Reliability of LLMs as Assistants in the Biomedical Domain
William James Bolton, Rafael Poyiadzi, Edward Morrell, Gabriela van Bergen Gonzalez Bueno, Lea Goetz RD2Bench: Toward Data-Centric Automatic R&D
Haotian Chen, Xinjie Shen, Zeqi Ye, Xiao Yang, Xu Yang, Weiqing Liu, Jiang Bian Re-Evaluating Retrosynthesis Algorithms with Syntheseus
Krzysztof Maziarz, Austin Tripp, Guoqing Liu, Megan Stanley, Shufang Xie, Piotr Gaiński, Philipp Seidl, Marwin Segler Re-Ex: Revising After Explanation Reduces the Factual Errors in LLM Responses
Juyeon Kim, Jeongeun Lee, YoonHo Chang, Chanyeol Choi, Jun-Seong Kim, Jy-yong Sohn Red Teaming GPT-4V: Are GPT-4V Safe Against Uni/Multi-Modal Jailbreak Attacks?
Shuo Chen, Zhen Han, Bailan He, Zifeng Ding, Wenqian Yu, Philip Torr, Volker Tresp, Jindong Gu Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling
Pratyush Maini, Skyler Seto, He Bai, David Grangier, Yizhe Zhang, Navdeep Jaitly REST Meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Renat Aksitov, Sobhan Miryoosefi, Zonglin Li, Daliang Li, Sheila Babayan, Kavya Kopparapu, Zachary Fisher, Ruiqi Guo, Sushant Prakash, Pranesh Srinivasan, Manzil Zaheer, Felix Yu, Sanjiv Kumar Rethinking Harmless Refusals When Fine-Tuning Foundation Models
Florin Pop, Judd Rosenblatt, Diogo Schwerz de Lucena, Michael Vaiana Retrieval Augmented Prompt Optimization
Yifan Sun, Jean-Baptiste Tien, Karthik Lakshmanan RetroGFN: Diverse and Feasible Retrosynthesis Using GFlowNets
Piotr Gaiński, Michał Koziarski, Krzysztof Maziarz, Marwin Segler, Jacek Tabor, Marek Śmieja Revealing Data Leakage in Protein Interaction Benchmarks
Anton Bushuiev, Roman Bushuiev, Jiri Sedlar, Tomas Pluskal, Jiri Damborsky, Stanislav Mazurenko, Josef Sivic REX: Rapid Exploration and eXploitation for AI Agents
R N Rithesh, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Le Xue, Weiran Yao, Yihao Feng, Zeyuan Chen, Akash Gokul, Devansh Arpit, Ran Xu, Phil L Mui, Huan Wang, Caiming Xiong, Silvio Savarese RNA-Protein Interaction Classification via Sequence Embeddings
Dominika Matus, Frederic Runge, Jörg K.H. Franke, Lars Gerne, Michael Uhl, Frank Hutter, Rolf Backofen SafeDecoding: Defending Against Jailbreak Attacks via Safety-Aware Decoding
Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bill Yuchen Lin, Radha Poovendran Sc-OTGM: Single-Cell Perturbation Modeling by Solving Optimal Mass Transport on the Manifold of Gaussian Mixtures
Andac Demir, Elizaveta Solovyeva, Jamie Boylan, Mei Xiao, Fabrizio Serluca, Sebastian Hoersch, Murthy V Devarakonda, Bulent Kiziltan Scaling Compute Is Not All You Need for Adversarial Robustness
Edoardo Debenedetti, Zishen Wan, Maksym Andriushchenko, Vikash Sehwag, Kshitij Bhardwaj, Bhavya Kailkhura Scaling Laws for Downstream Task Performance of Large Language Models
Berivan Isik, Natalia Ponomareva, Hussein Hazimeh, Dimitris Paparas, Sergei Vassilvitskii, Sanmi Koyejo Scaling Transformers for Skillful and Reliable Medium-Range Weather Forecasting
Tung Nguyen, Rohan Shah, Hritik Bansal, Troy Arcomano, Sandeep Madireddy, Romit Maulik, Veerabhadra Kotamarthi, Ian Foster, Aditya Grover Scvi-Hub: A Flexible Framework for Reference Enabled Single-Cell Data Analysis
Can Ergen, Valeh Valiollah Pour Amiri, Martin Kim, Aaron Streets, Adam Gayoso, Nir Yosef Season Combinatorial Intervention Predictions with Salt & Peper
Thomas Gaudelet, Alice Del Vecchio, Eli M Carrami, Juliana Cudini, Chantriolnt-Andreas Kapourani, Caroline Uhler, Lindsay Edwards SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents
Kanzhi Cheng, Qiushi Sun, Yougang Chu, Fangzhi Xu, Li YanTao, Jianbing Zhang, Zhiyong Wu Select High-Level Features: Efficient Experts from a Hierarchical Classification Network
André Peter Kelm, Niels Hannemann, Bruno Heberle, Lucas Schmidt, Tim Rolff, Christian Wilms, Ehsan Yaghoubi, Simone Frintrop Selecting Large Language Model to Fine-Tune via Rectified Scaling Law
Haowei Lin, Baizhou Huang, Haotian Ye, Qinyu Chen, Zihao Wang, Sujian Li, Jianzhu Ma, Xiaojun Wan, James Zou, Yitao Liang Selective Prediction for Semantic Segmentation Under Distribution Shift
Bruno Laboissiere Camargos Borges, Bruno Machado Pacheco, Danilo Silva Self-Alignment of Large Language Models via Multi-Agent Social Simulation
Xianghe Pang, Shuo Tang, Rui Ye, Yuxin Xiong, Bolun Zhang, Yanfeng Wang, Siheng Chen Self-Alignment of Large Language Models via Social Scene Simulation
Xianghe Pang, Shuo Tang, Rui Ye, Yuxin Xiong, Bolun Zhang, Yanfeng Wang, Siheng Chen Self-Evaluation and Self-Prompting to Improve the Reliability of LLMs
Alexandre Piché, Aristides Milios, Dzmitry Bahdanau, Christopher Pal Self-Training Language Models in Arithmetic Reasoning
Marek Kadlčík, Michal Štefánik, Ondrej Sotolar, Vlastimil Martinek Semiparametric Inference and Equation Discovery with the Bayesian Machine Scientist
Kai-Hendrik Cohrs, Gherardo Varando, Roger Guimerà, Marta Sales Pardo, Gustau Camps-Valls Setting the Record Straight on Transformer Oversmoothing
Gbetondji Jean-Sebastien Dovonon, Michael M. Bronstein, Matt Kusner Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models
Xianjun Yang, Xiao Wang, Qi Zhang, Linda Ruth Petzold, William Yang Wang, Xun Zhao, Dahua Lin Shadowcast: Stealthy Data Poisoning Attacks Against Vision-Language Models
Yuancheng Xu, Jiarui Yao, Manli Shu, Yanchao Sun, Zichu Wu, Ning Yu, Tom Goldstein, Furong Huang Simplicity in Complexity
Surabhi S Nath, Kevin Shen, Aenne Annelie Brielmann, Peter Dayan Simulating Opinion Dynamics with Networks of LLM-Based Agents
Yun-Shiuan Chuang, Agam Goyal, Nikunj Harlalka, Siddharth Suresh, Robert D. Hawkins, Sijia Yang, Dhavan V. Shah, Junjie Hu, Timothy T. Rogers Single-Pass Detection of Jailbreaking Input in Large Language Models
Leyla Naz Candogan, Yongtao Wu, Elias Abad Rocamora, Grigorios Chrysos, Volkan Cevher Smoothness-Adaptive Sharpness-Aware Minimization for Finding Flatter Minima
Hiroki Naganuma, Junhyung Lyle Kim, Anastasios Kyrillidis, Ioannis Mitliagkas Source-Aware Training Enables Knowledge Attribution in Language Models
Muhammad Khalifa, David Wadden, Emma Strubell, Honglak Lee, Lu Wang, Iz Beltagy, Hao Peng SparQ Attention: Bandwidth-Efficient LLM Inference
Luka Ribar, Ivan Chelombiev, Luke Hudlass-Galley, Charlie Blake, Carlo Luschi, Douglas Orr Sparsity for Communication-Efficient LoRA
Kevin Kuo, Arian Raje, Kousik Rajesh, Virginia Smith Steering LLMs Towards Unbiased Responses: A Causality-Guided Debiasing Framework
Jingling Li, Zeyu Tang, Xiaoyu Liu, Peter Spirtes, Kun Zhang, Liu Leqi, Yang Liu Structure-Informed Protein Language Model
Zuobai Zhang, Jiarui Lu, Vijil Chenthamarakshan, Aurelie Lozano, Payel Das, Jian Tang Subspace-Configurable Networks
Dong Wang, Olga Saukh, Xiaoxi He, Lothar Thiele SUPClust: Active Learning at the Boundaries
Yuta Ono, Till Aczel, Benjamin Estermann, Roger Wattenhofer Symbolic Variables in Distributed Networks That Count
Satchel Grant, Zhengxuan Wu, James Lloyd McClelland, Noah Goodman SynFlowNet: Towards Molecule Design with Guaranteed Synthesis Pathways
Miruna Cretu, Charles Harris, Julien Roy, Emmanuel Bengio, Pietro Lio Tailoring Self-Rationalizers with Multi-Reward Distillation
Sahana Ramnath, Brihi Joshi, Skyler Hallinan, Ximing Lu, Liunian Harold Li, Aaron Chan, Jack Hessel, Yejin Choi, Xiang Ren Targeted Reduction of Causal Models
Armin Kekić, Bernhard Schölkopf, Michel Besserve TaskBench: Benchmarking Large Language Models for Task Automation
Yongliang Shen, Kaitao Song, Xu Tan, Wenqi Zhang, Kan Ren, Siyu Yuan, Weiming Lu, Dongsheng Li, Yueting Zhuang Texplain: Post-Hoc Textual Explanation of Image Classifiers with Pre-Trained Language Models
Saeid Asgari, Aliasghar Khani, Amir Hosein Khasahmadi, Aditya Sanghi, Karl D.D. Willis, Ali Mahdavi Amiri Text2Data: Low-Resource Data Generation with Textual Control
Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu, Yu Bai, Ran Xu, Huan Wang, Caiming Xiong, Silvio Savarese Texture Bias in Primate Ventral Visual Cortex
Akshay Vivek Jagadeesh, Margaret Livingstone The Agent Ohana: Designing Unified Data and Training Pipeline for Effective Agent Learning
Jianguo Zhang, Tian Lan, R N Rithesh, Zhiwei Liu, Weiran Yao, Juntao Tan, Thai Quoc Hoang, Liangwei Yang, Yihao Feng, Zuxin Liu, Ming Zhu, Tulika Manoj Awalgaonkar, Juan Carlos Niebles, Silvio Savarese, Shelby Heinecke, Huan Wang, Caiming Xiong The ART of LLM Refinement: Ask, Refine, Trust
Kumar Shridhar, Koustuv Sinha, Andrew Cohen, Tianlu Wang, Ping Yu, Ramakanth Pasunuru, Mrinmaya Sachan, Jason E Weston, Asli Celikyilmaz The Conjugate Kernel for Efficient Training of Physics-Informed Deep Operator Networks
Amanda A Howard, Saad Qadeer, Andrew William Engel, Adam Tsou, Max Vargas, Tony Chiang, Panos Stinis The Effect of Model Size on LLM Post-Hoc Explainability via LIME
Henning Heyen, Amy Widdicombe, Noah Yamamoto Siegel, Philip Colin Treleaven, Maria Perez-Ortiz The Pitfalls of Next-Token Prediction
Gregor Bachmann, Vaishnavh Nagarajan The Protein Engineering Tournament: An Open Science Benchmark for Protein Modeling and Design
Chase Armer, Henning Redestig, Erika DeBenedictis, Hassan Kané, Dana Cortade, Peter J Kelly, Adil Yusuf, Tj Brunette The Science of Data Filtering: Data Curation Cannot Be Compute Agnostic
Sachin Goyal, Pratyush Maini, Zachary Chase Lipton, Aditi Raghunathan, J Zico Kolter The Wisdom of Partisan Crowds: Comparing Collective Intelligence in Humans and LLM-Based Agents
Yun-Shiuan Chuang, Nikunj Harlalka, Siddharth Suresh, Agam Goyal, Robert D. Hawkins, Sijia Yang, Dhavan V. Shah, Junjie Hu, Timothy T. Rogers TOFU: A Task of Fictitious Unlearning for LLMs
Pratyush Maini, Zhili Feng, Avi Schwarzschild, Zachary Chase Lipton, J Zico Kolter Towards an Improved Understanding and Utilization of Maximum Manifold Capacity Representations
Rylan Schaeffer, Berivan Isik, Dhruv Bhandarkar Pai, Andres Carranza, Victor Lecomte, Alyssa Unell, Mikail Khona, Thomas Edward Yerxa, Yann LeCun, SueYeon Chung, Andrey Gromov, Ravid Shwartz-Ziv, Sanmi Koyejo Towards DNA-Encoded Library Generation with GFlowNets
Michał Koziarski, Mohammed Abukalam, Vedant Shah, Louis Vaillancourt, Doris Alexandra Schuetz, Moksh Jain, Almer M. van der Sloot, Mathieu Bourgey, Anne Marinier, Yoshua Bengio Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study
Weihao Tan, Ziluo Ding, Wentao Zhang, Boyu Li, Bohan Zhou, Junpeng Yue, Haochong Xia, Jiechuan Jiang, Longtao Zheng, Xinrun Xu, Yifei Bi, Pengjie Gu, Xinrun Wang, Börje F. Karlsson, Bo An, Zongqing Lu Towards Generative RNA Design with Tertiary Interactions
Sharat Patil, Frederic Runge, Jörg K.H. Franke, Frank Hutter Towards Natural Language-Driven Industrial Assembly Using Foundation Models
Omkar Joglekar, Shir Kozlovsky, Tal Lancewicki, Vladimir Tchuiev, Zohar Feldman, Dotan Di Castro Towards Self-Improving Language Models for Code Generation
Michaël Defferrard, Corrado Rainone, David W. Zhang, Blazej Manczak, Natasha Butt, Taco Cohen Towards Structure-Based Drug Design with Protein Flexibility
Arne Schneuing, Ilia Igashov, Thomas Castiglione, Michael M. Bronstein, Bruno Correia Towards Unbiased Evaluation of Detecting Unanswerable Questions in EHRSQL
Yongjin Yang, Sihyeon Kim, SangMook Kim, Gyubok Lee, Se-Young Yun, Edward Choi Towards Unified Alignment Between Agents, Humans, and Environment
Zonghan Yang, An Liu, Zijun Liu, Kaiming Liu, Fangzhou Xiong, Yile Wang, Zeyuan Yang, Qingyuan Hu, XinRui Chen, Zhenhe Zhang, Fuwen Luo, Zhicheng Guo, Peng Li, Yang Liu TPTU-V2: Boosting Task Planning and Tool Usage of Large Language Model-Based Agents in Real-World Systems
Yilun Kong, Jingqing Ruan, YiHong Chen, Bin Zhang, Tianpeng Bao, Shi Shiwei, Du Guo Qing, Xiaoru Hu, Hangyu Mao, Ziyue Li, Xingyu Zeng, Rui Zhao, Xueqian Wang Transformers Can Achieve Length Generalization but Not Robustly
Yongchao Zhou, Uri Alon, Xinyun Chen, Xuezhi Wang, Rishabh Agarwal, Denny Zhou TravelPlanner: A Benchmark for Real-World Planning with Language Agents
Jian Xie, Kai Zhang, Jiangjie Chen, Tinghui Zhu, Renze Lou, Yuandong Tian, Yanghua Xiao, Yu Su Traversing Chemical Space with Latent Potential Flows
Guanghao Wei, Yining Huang, Chenru Duan, Yue Song, Yuanqi Du Uncertainty of Thoughts: Uncertainty-Aware Planning Enhances Information Seeking in Large Language Models
Zhiyuan Hu, Chumin Liu, Xidong Feng, Yilun Zhao, See-Kiong Ng, Anh Tuan Luu, Junxian He, Pang Wei Koh, Bryan Hooi Uncertainty Quantification for Fourier Neural Operators
Tobias Weber, Emilia Magnani, Marvin Pförtner, Philipp Hennig Understanding Practical Membership Privacy of Deep Learning
Marlon Tobaben, Gauri Pradhan, Yuan He, Joonas Jälkö, Antti Honkela Unified Hallucination Detection for Multimodal Large Language Models
Xiang Chen, Chenxi Wang, Ningyu Zhang, Yida Xue, Xiaoyan Yang, Yue Shen, Jinjie Gu, Huajun Chen Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation
Zhengyue Zhao, Jinhao Duan, Xing Hu, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Yunji Chen Unsolvable Problem Detection for Vision Language Models
Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Li, Ziwei Liu, Kiyoharu Aizawa Unveiling Zero Shot Prediction for Gene Attributes Through Interpretable AI
Ala Jararweh, Oladimeji Macaulay, David Arredondo, Olufunmilola Oyebamiji, Luis E Tafoya, Kushal Virupakshappa, Avinash Sahu Value Augmented Sampling: Predict Your Rewards to Align Language Models
Seungwook Han, Idan Shenfeld, Akash Srivastava, Yoon Kim, Pulkit Agrawal Variance-Reduced Zeroth-Order Methods for Fine-Tuning Language Models
Tanmay Gautam, Youngsuk Park, Hao Zhou, Parameswaran Raman, Wooseok Ha VideoCon: Robust Video-Language Alignment via Contrast Captions
Hritik Bansal, Yonatan Bitton, Idan Szpektor, Kai-Wei Chang, Aditya Grover VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks
Jing Yu Koh, Robert Lo, Lawrence Jang, Vikram Duvvur, Ming Chong Lim, Po-Yu Huang, Graham Neubig, Shuyan Zhou, Ruslan Salakhutdinov, Daniel Fried Watermark Stealing in Large Language Models
Nikola Jovanović, Robin Staab, Martin Vechev Watermarks in the Sand: Impossibility of Strong Watermarking for Generative Models
Hanlin Zhang, Benjamin L. Edelman, Danilo Francati, Daniele Venturi, Giuseppe Ateniese, Boaz Barak WatME: Towards Lossless Watermarking Through Lexical Redundancy
Liang Chen, Yatao Bian, Yang Deng, Deng Cai, Shuaiyi Li, Peilin Zhao, Kam-Fai Wong WavCraft: Audio Editing and Generation with Large Language Models
Jinhua Liang, Huan Zhang, Haohe Liu, Yin Cao, Qiuqiang Kong, Xubo Liu, Wenwu Wang, Mark D Plumbley, Huy Phan, Emmanouil Benetos WAVES: Benchmarking the Robustness of Image Watermarks
Mucong Ding, Tahseen Rabbani, Bang An, Aakriti Agrawal, Yuancheng Xu, Chenghao Deng, Sicheng Zhu, Abdirisak Mohamed, Yuxin Wen, Tom Goldstein, Furong Huang West-of-N: Synthetic Preference Generation for Improved Reward Modeling
Alizée Pace, Jonathan Mallinson, Eric Malmi, Sebastian Krause, Aliaksei Severyn WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?
Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, Léo Boisvert, Megh Thakkar, Quentin Cappart, David Vazquez, Nicolas Chapados, Alexandre Lacoste Xddpm: Explainable Denoising Diffusion Prob- Abilistic Model for Scientific Modeling
Qianru Zhang, Chenglei Yu, Yudong Yan, Xiangyu Kuang, Yi Ma, Yuansheng Cao, Siu Ming Yiu, Tailin Wu YAD: Leveraging T5 for Improved Automatic Diacritization of Yorùbá Text
Akindele Michael Olawole, Jesujoba Oluwadara Alabi, Aderonke Busayo Sakpere, David Ifeoluwa Adelani