Xiong, Caiming

151 publications

TMLR 2026 CRMArena-Pro: Holistic Assessment of LLM Agents Across Diverse Business Scenarios and Interactions Kung-Hsiang Huang, Akshara Prabhakar, Onkar Thorat, Divyansh Agarwal, Prafulla Kumar Choubey, Yixin Mao, Silvio Savarese, Caiming Xiong, Chien-Sheng Wu

TMLR 2026 LZ Penalty: An Information-Theoretic Repetition Penalty for Autoregressive Language Models. Tony A Ginart, Naveen Kodali, Jason Lee, Caiming Xiong, Silvio Savarese, John Emmons

TMLR 2025 A Comprehensive Survey of Contamination Detection Methods in Large Language Models Mathieu Ravaut, Bosheng Ding, Fangkai Jiao, Hailin Chen, Xingxuan Li, Ruochen Zhao, Chengwei Qin, Caiming Xiong, Shafiq Joty

TMLR 2025 A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems Zixuan Ke, Fangkai Jiao, Yifei Ming, Xuan-Phi Nguyen, Austin Xu, Do Xuan Long, Minzhi Li, Chengwei Qin, PeiFeng Wang, Silvio Savarese, Caiming Xiong, Shafiq Joty

NeurIPS 2025 APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay Akshara Prabhakar, Zuxin Liu, Ming Zhu, Jianguo Zhang, Tulika Manoj Awalgaonkar, Shiyu Wang, Zhiwei Liu, Haolin Chen, Thai Quoc Hoang, Juan Carlos Niebles, Shelby Heinecke, Weiran Yao, Huan Wang, Silvio Savarese, Caiming Xiong

ICLR 2025 AgentTrek: Agent Trajectory Synthesis via Guiding Replay with Web Tutorials Yiheng Xu, Dunjie Lu, Zhennan Shen, Junli Wang, Zekun Wang, Yuchen Mao, Caiming Xiong, Tao Yu

ICML 2025 Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction Yiheng Xu, Zekun Wang, Junli Wang, Dunjie Lu, Tianbao Xie, Amrita Saha, Doyen Sahoo, Tao Yu, Caiming Xiong

ICLRW 2025 Aguvis: Unified Pure Vision Agents for Autonomous GUI Interaction Yiheng Xu, Zekun Wang, Junli Wang, Dunjie Lu, Tianbao Xie, Amrita Saha, Doyen Sahoo, Tao Yu, Caiming Xiong

ICLR 2025 Automatic Curriculum Expert Iteration for Reliable LLM Reasoning Zirui Zhao, Hanze Dong, Amrita Saha, Caiming Xiong, Doyen Sahoo

ICLRW 2025 BOLT: Bootstrap Long Chain-of-Thought in Language Models Without Distillation Bo Pang, Hanze Dong, Jiacheng Xu, Silvio Savarese, Yingbo Zhou, Caiming Xiong

NeurIPS 2025 Beyond Accuracy: Dissecting Mathematical Reasoning for LLMs Under Reinforcement Learning Jiayu Wang, Yifei Ming, Zixuan Ke, Caiming Xiong, Shafiq Joty, Aws Albarghouthi, Frederic Sala

ICLR 2025 BingoGuard: LLM Content Moderation Tools with Risk Levels Fan Yin, Philippe Laban, Xiangyu Peng, Yilun Zhou, Yixin Mao, Vaibhav Vats, Linnea Ross, Divyansh Agarwal, Caiming Xiong, Chien-Sheng Wu

ICLR 2025 Bridging the Data Provenance Gap Across Text, Speech, and Video Shayne Longpre, Nikhil Singh, Manuel Cherep, Kushagra Tiwary, Joanna Materzynska, William Brannon, Robert Mahari, Naana Obeng-Marnu, Manan Dey, Mohammed Hamdy, Nayan Saxena, Ahmad Mustafa Anis, Emad A. Alghamdi, Vu Minh Chien, Da Yin, Kun Qian, Yizhi Li, Minnie Liang, An Dinh, Shrestha Mohanty, Deividas Mataciunas, Tobin South, Jianguo Zhang, Ariel N. Lee, Campbell S. Lund, Christopher Klamm, Damien Sileo, Diganta Misra, Enrico Shippole, Kevin Klyman, Lester James Validad Miranda, Niklas Muennighoff, Seonghyeon Ye, Seungone Kim, Vipul Gupta, Vivek Sharma, Xuhui Zhou, Caiming Xiong, Luis Villa, Stella Biderman, Alex Pentland, Sara Hooker, Jad Kabbara

ICLRW 2025 CLOVER: A Test Case Generation Benchmark with Coverage, Long-Context, and Verification Jiacheng Xu, Bo Pang, Jin Qu, Hiroaki Hayashi, Caiming Xiong, Yingbo Zhou

ICLR 2025 Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents Kexun Zhang, Weiran Yao, Zuxin Liu, Yihao Feng, Zhiwei Liu, R N Rithesh, Tian Lan, Lei Li, Renze Lou, Jiacheng Xu, Bo Pang, Yingbo Zhou, Shelby Heinecke, Silvio Savarese, Huan Wang, Caiming Xiong

NeurIPS 2025 DyMU: Dynamic Merging and Virtual Unmerging for Efficient Variable-Length VLMs Zhenhailong Wang, Senthil Purushwalkam, Caiming Xiong, Silvio Savarese, Heng Ji, Ran Xu

ICML 2025 Evaluating Judges as Evaluators: The JETTS Benchmark of LLM-as-Judges as Test-Time Scaling Evaluators Yilun Zhou, Austin Xu, Peifeng Wang, Caiming Xiong, Shafiq Joty

ICLR 2025 FaithEval: Can Your Language Model Stay Faithful to Context, Even if "The Moon Is Made of Marshmallows" Yifei Ming, Senthil Purushwalkam, Shrey Pandit, Zixuan Ke, Xuan-Phi Nguyen, Caiming Xiong, Shafiq Joty

ICLR 2025 GReaTer: Gradients over Reasoning Makes Smaller Language Models Strong Prompt Optimizers Sarkar Snigdha Sarathi Das, Ryo Kamoi, Bo Pang, Yusen Zhang, Caiming Xiong, Rui Zhang

ICML 2025 Moirai-MoE: Empowering Time Series Foundation Models with Sparse Mixture of Experts Xu Liu, Juncheng Liu, Gerald Woo, Taha Aksu, Yuxuan Liang, Roger Zimmermann, Chenghao Liu, Junnan Li, Silvio Savarese, Caiming Xiong, Doyen Sahoo

ICLR 2025 ReGenesis: LLMs Can Grow into Reasoning Generalists via Self-Improvement Xiangyu Peng, Congying Xia, Xinyi Yang, Caiming Xiong, Chien-Sheng Wu, Chen Xing

ICML 2025 Reward-Guided Speculative Decoding for Efficient LLM Reasoning Baohao Liao, Yuhui Xu, Hanze Dong, Junnan Li, Christof Monz, Silvio Savarese, Doyen Sahoo, Caiming Xiong

NeurIPS 2025 Scaling Computer-Use Grounding via User Interface Decomposition and Synthesis Tianbao Xie, Jiaqi Deng, Xiaochuan Li, Junlin Yang, Haoyuan Wu, Jixuan Chen, Wenjing Hu, Xinyuan Wang, Yuhui Xu, Zekun Wang, Yiheng Xu, Junli Wang, Doyen Sahoo, Tao Yu, Caiming Xiong

TMLR 2025 Shared Imagination: LLMs Hallucinate Alike Yilun Zhou, Caiming Xiong, Silvio Savarese, Chien-Sheng Wu

ICLR 2025 SiReRAG: Indexing Similar and Related Information for Multihop Reasoning Nan Zhang, Prafulla Kumar Choubey, Alexander Fabbri, Gabriel Bernadett-Shapiro, Rui Zhang, Prasenjit Mitra, Caiming Xiong, Chien-Sheng Wu

ICLR 2025 Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows Fangyu Lei, Jixuan Chen, Yuxiao Ye, Ruisheng Cao, Dongchan Shin, Hongjin Su, Zhaoqing Suo, Hongcheng Gao, Wenjing Hu, Pengcheng Yin, Victor Zhong, Caiming Xiong, Ruoxi Sun, Qian Liu, Sida Wang, Tao Yu

ICLRW 2025 TACO: Learning Multi-Modal Models to Reason and Act with Synthetic Chains-of-Thought-and-Action Zixian Ma, Jianguo Zhang, Zhiwei Liu, Jieyu Zhang, Juntao Tan, Manli Shu, Juan Carlos Niebles, Shelby Heinecke, Huan Wang, Caiming Xiong, Ranjay Krishna, Silvio Savarese

AAAI 2025 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

ICLR 2025 ThinK: Thinner Key Cache by Query-Driven Pruning Yuhui Xu, Zhanming Jie, Hanze Dong, Lei Wang, Xudong Lu, Aojun Zhou, Amrita Saha, Caiming Xiong, Doyen Sahoo

ICLRW 2025 ToolScan: A Benchmark for Characterizing Errors in Tool-Use LLMs Shirley Kokane, Ming Zhu, Tulika Manoj Awalgaonkar, Jianguo Zhang, Akshara Prabhakar, Thai Quoc Hoang, Zuxin Liu, R N Rithesh, Liangwei Yang, Weiran Yao, Juntao Tan, Zhiwei Liu, Huan Wang, Juan Carlos Niebles, Shelby Heinecke, Caiming Xiong, Silvio Savarese

ICCV 2025 Trust but Verify: Programmatic VLM Evaluation in the Wild Viraj Prabhu, Senthil Purushwalkam, An Yan, Caiming Xiong, Ran Xu

TMLR 2025 UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting Juncheng Liu, Chenghao Liu, Gerald Woo, Yiwei Wang, Bryan Hooi, Caiming Xiong, Doyen Sahoo

CVPR 2025 ViUniT: Visual Unit Tests for More Robust Visual Programming Artemis Panagopoulou, Honglu Zhou, Silvio Savarese, Caiming Xiong, Chris Callison-Burch, Mark Yatskar, Juan Carlos Niebles

NeurIPS 2024 APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets Zuxin Liu, Thai Hoang, Jianguo Zhang, Ming Zhu, Tian Lan, Shirley Kokane, Juntao Tan, Weiran Yao, Zhiwei Liu, Yihao Feng, Rithesh Murthy, Liangwei Yang, Silvio Savarese, Juan Carlos Niebles, Huan Wang, Shelby Heinecke, Caiming Xiong

ICLRW 2024 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

CLeaR 2024 Causal Layering via Conditional Entropy Itai Feigenbaum, Devansh Arpit, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Caiming Xiong, Silvio Savarese, Huan Wang

NeurIPS 2024 Consent in Crisis: The Rapid Decline of the AI Data Commons Shayne Longpre, Robert Mahari, Ariel Lee, Campbell Lund, Hamidah Oderinwale, William Brannon, Nayan Saxena, Naana Obeng-Marnu, Tobin South, Cole Hunter, Kevin Klyman, Christopher Klamm, Hailey Schoelkopf, Nikhil Singh, Manuel Cherep, Ahmad Mustafa Anis, An Dinh, Caroline Chitongo, Da Yin, Damien Sileo, Deividas Mataciunas, Diganta Misra, Emad Alghamdi, Enrico Shippole, Jianguo Zhang, Joanna Materzynska, Kun Qian, Kush Tiwary, Lester Miranda, Manan Dey, Minnie Liang, Mohammed Hamdy, Niklas Muennighoff, Seonghyeon Ye, Seungone Kim, Shrestha Mohanty, Vipul Gupta, Vivek Sharma, Vu Minh Chien, Xuhui Zhou, Yizhi Li, Caiming Xiong, Luis Villa, Stella Biderman, Hanlin Li, Daphne Ippolito, Sara Hooker, Jad Kabbara, Sandy Pentland

CVPR 2024 Diffusion Model Alignment Using Direct Preference Optimization Bram Wallace, Meihua Dang, Rafael Rafailov, Linqi Zhou, Aaron Lou, Senthil Purushwalkam, Stefano Ermon, Caiming Xiong, Shafiq Joty, Nikhil Naik

NeurIPSW 2024 GIFT-Eval: A Benchmark for General Time Series Forecasting Model Evaluation Taha Aksu, Gerald Woo, Juncheng Liu, Xu Liu, Chenghao Liu, Silvio Savarese, Caiming Xiong, Doyen Sahoo

CVPR 2024 HIVE: Harnessing Human Feedback for Instructional Visual Editing Shu Zhang, Xinyi Yang, Yihao Feng, Can Qin, Chia-Chih Chen, Ning Yu, Zeyuan Chen, Huan Wang, Silvio Savarese, Stefano Ermon, Caiming Xiong, Ran Xu

ICLR 2024 How Do Transformers Learn In-Context Beyond Simple Functions? a Case Study on Learning with Representations Tianyu Guo, Wei Hu, Song Mei, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai

NeurIPS 2024 INDICT: Code Generation with Internal Dialogues of Critiques for Both Security and Helpfulness Hung Le, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Doyen Sahoo

ECCV 2024 LayoutDETR: Detection Transformer Is a Good Multimodal Layout Designer Ning Yu, Chia-chih Chen, Zeyuan Chen, Rui Meng, Gang Wu, Paul W Josel, Juan Carlos Niebles, Caiming Xiong, Ran Xu

ICLR 2024 Lemur: Harmonizing Natural Language and Code for Language Agents Yiheng Xu, Hongjin Su, Chen Xing, Boyu Mi, Qian Liu, Weijia Shi, Binyuan Hui, Fan Zhou, Yitao Liu, Tianbao Xie, Zhoujun Cheng, Siheng Zhao, Lingpeng Kong, Bailin Wang, Caiming Xiong, Tao Yu

NeurIPS 2024 MINT-1T: Scaling Open-Source Multimodal Data by 10x: A Multimodal Dataset with One Trillion Tokens Anas Awadalla, Le Xue, Oscar Lo, Manli Shu, Hannah Lee, Etash Guha, Matt Jordan, Sheng Shen, Mohamed Awadalla, Silvio Savarese, Caiming Xiong, Ran Xu, Yejin Choi, Ludwig Schmidt

NeurIPSW 2024 Mixture of Experts for Time Series Foundation Models Xu Liu, Juncheng Liu, Gerald Woo, Taha Aksu, Chenghao Liu, Silvio Savarese, Caiming Xiong, Doyen Sahoo

NeurIPS 2024 OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments Tianbao Xie, Danyang Zhang, Jixuan Chen, Xiaochuan Li, Siheng Zhao, Ruisheng Cao, Toh Jing Hua, Zhoujun Cheng, Dongchan Shin, Fangyu Lei, Yitao Liu, Yiheng Xu, Shuyan Zhou, Silvio Savarese, Caiming Xiong, Victor Zhong, Tao Yu

PGM 2024 On the Unlikelihood of D-Separation Itai Feigenbaum, Devansh Arpit, Shelby Heinecke, Juan Carlos Niebles, Weiran Yao, Huan Wang, Caiming Xiong, Silvio Savarese

ICLRW 2024 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

ICML 2024 Position: TrustLLM: Trustworthiness in Large Language Models Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Yang Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao

ICLRW 2024 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

TMLR 2024 RLHF Workflow: From Reward Modeling to Online RLHF Hanze Dong, Wei Xiong, Bo Pang, Haoxiang Wang, Han Zhao, Yingbo Zhou, Nan Jiang, Doyen Sahoo, Caiming Xiong, Tong Zhang

ICLR 2024 Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization Weiran Yao, Shelby Heinecke, Juan Carlos Niebles, Zhiwei Liu, Yihao Feng, Le Xue, R N Rithesh, Zeyuan Chen, Jianguo Zhang, Devansh Arpit, Ran Xu, Phil L Mui, Huan Wang, Caiming Xiong, Silvio Savarese

ICLR 2024 Sample-Efficient Learning of POMDPs with Multiple Observations in Hindsight Jiacheng Guo, Minshuo Chen, Huan Wang, Caiming Xiong, Mengdi Wang, Yu Bai

NeurIPS 2024 Spider2-V: How Far Are Multimodal Agents from Automating Data Science and Engineering Workflows? Ruisheng Cao, Fangyu Lei, Haoyuan Wu, Jixuan Chen, Yeqiao Fu, Hongcheng Gao, Xinzhuang Xiong, Hanchong Zhang, Yuchen Mao, Wenjing Hu, Tianbao Xie, Hongshen Xu, Danyang Zhang, Sida Wang, Ruoxi Sun, Pengcheng Yin, Caiming Xiong, Ansong Ni, Qian Liu, Victor Zhong, Lu Chen, Kai Yu, Tao Yu

ICLRW 2024 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

ICLRW 2024 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

ICLRW 2024 Toward Data-Driven Skill Identification for General-Purpose Vision-Language Models Anthony Tiong, Junqi Zhao, Junnan Li, Steven Hoi, Caiming Xiong, Boyang Li

NeurIPSW 2024 Trust but Verify: Reliable VLM Evaluation In-the-Wild with Program Synthesis Viraj Uday Prabhu, Senthil Purushwalkam, Jieyu Zhang, An Yan, Caiming Xiong, Ran Xu

CVPR 2024 ULIP-2: Towards Scalable Multimodal Pre-Training for 3D Understanding Le Xue, Ning Yu, Shu Zhang, Artemis Panagopoulou, Junnan Li, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese

NeurIPSW 2024 UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting Juncheng Liu, Chenghao Liu, Gerald Woo, Yiwei Wang, Bryan Hooi, Caiming Xiong, Doyen Sahoo

ICML 2024 Unified Training of Universal Time Series Forecasting Transformers Gerald Woo, Chenghao Liu, Akshat Kumar, Caiming Xiong, Silvio Savarese, Doyen Sahoo

ECCV 2024 X-InstructBLIP: A Framework for Aligning Image, 3D, Audio, Video to LLMs and Its Emergent Cross-Modal Reasoning Artemis Panagopoulou, Le Xue, Ning Yu, Li Junnan, Dongxu Li, Shafiq Joty, Ran Xu, Silvio Savarese, Caiming Xiong, Juan Carlos Niebles

ECCVW 2024 xGen-VideoSyn-1: High-Fidelity Text-to-Video Synthesis with Compressed Representations Can Qin, Congying Xia, Krithika Ramakrishnan, Michael S. Ryoo, Lifu Tu, Yihao Feng, Manli Shu, Honglu Zhou, Anas Awadalla, Jun Wang, Senthil Purushwalkam, Le Xue, Yingbo Zhou, Huan Wang, Silvio Savarese, Juan Carlos Niebles, Zeyuan Chen, Ran Xu, Caiming Xiong

ICLR 2023 Binding Language Models in Symbolic Languages Zhoujun Cheng, Tianbao Xie, Peng Shi, Chengzu Li, Rahul Nadkarni, Yushi Hu, Caiming Xiong, Dragomir Radev, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu

ICLR 2023 CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis Erik Nijkamp, Bo Pang, Hiroaki Hayashi, Lifu Tu, Huan Wang, Yingbo Zhou, Silvio Savarese, Caiming Xiong

ICLR 2023 Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-Oriented Dialogue Systems Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou, Huan Wang

ICCV 2023 GlueGen: Plug and Play Multi-Modal Encoders for X-to-Image Generation Can Qin, Ning Yu, Chen Xing, Shu Zhang, Zeyuan Chen, Stefano Ermon, Yun Fu, Caiming Xiong, Ran Xu

NeurIPSW 2023 How Do Transformers Learn In-Context Beyond Simple Functions? a Case Study on Learning with Representations Tianyu Guo, Wei Hu, Song Mei, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai

ICML 2023 Improved Online Conformal Prediction via Strongly Adaptive Online Learning Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Yu Bai

AAAI 2023 Learning to Play General-Sum Games Against Multiple Boundedly Rational Agents Eric Zhao, Alexander R. Trott, Caiming Xiong, Stephan Zheng

ICML 2023 Lower Bounds for Learning in Revealing POMDPs Fan Chen, Huan Wang, Caiming Xiong, Song Mei, Yu Bai

MLOSS 2023 Merlion: End-to-End Machine Learning for Time Series Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K C Krithika, Sukumar Maddineni, Daeki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven Hoi, Huan Wang

ICLR 2023 Model Ensemble Instead of Prompt Fusion: A Sample-Specific Knowledge Transfer Method for Few-Shot Prompt Tuning Xiangyu Peng, Chen Xing, Prafulla Kumar Choubey, Chien-Sheng Wu, Caiming Xiong

NeurIPS 2023 Preference-Grounded Token-Level Guidance for Language Model Fine-Tuning Shentao Yang, Shujian Zhang, Congying Xia, Yihao Feng, Caiming Xiong, Mingyuan Zhou

ICMLW 2023 Sample-Efficient Learning of POMDPs with Multiple Observations in Hindsight Jiacheng Guo, Minshuo Chen, Huan Wang, Caiming Xiong, Mengdi Wang, Yu Bai

NeurIPS 2023 Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection Yu Bai, Fan Chen, Huan Wang, Caiming Xiong, Song Mei

ICMLW 2023 Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection Yu Bai, Fan Chen, Huan Wang, Caiming Xiong, Song Mei

CVPR 2023 ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding Le Xue, Mingfei Gao, Chen Xing, Roberto Martín-Martín, Jiajun Wu, Caiming Xiong, Ran Xu, Juan Carlos Niebles, Silvio Savarese

NeurIPS 2023 UniControl: A Unified Diffusion Model for Controllable Visual Generation in the Wild Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu

ICML 2022 BLIP: Bootstrapping Language-Image Pre-Training for Unified Vision-Language Understanding and Generation Junnan Li, Dongxu Li, Caiming Xiong, Steven Hoi

ICLR 2022 Efficient and Differentiable Conformal Prediction with General Function Classes Yu Bai, Song Mei, Huan Wang, Yingbo Zhou, Caiming Xiong

NeurIPS 2022 Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization Devansh Arpit, Huan Wang, Yingbo Zhou, Caiming Xiong

NeurIPSW 2022 Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-Oriented Dialogue Systems Yihao Feng, Shentao Yang, Shujian Zhang, Jianguo Zhang, Caiming Xiong, Mingyuan Zhou, Huan Wang

UAI 2022 Local Calibration: Metrics and Recalibration Rachel Luo, Aadyot Bhatnagar, Yu Bai, Shengjia Zhao, Huan Wang, Caiming Xiong, Silvio Savarese, Stefano Ermon, Edward Schmerling, Marco Pavone

ECCV 2022 Open Vocabulary Object Detection with Pseudo Bounding-Box Labels Mingfei Gao, Chen Xing, Juan Carlos Niebles, Junnan Li, Ran Xu, Wenhao Liu, Caiming Xiong

NeurIPS 2022 Policy Optimization for Markov Games: Unified Framework and Faster Convergence Runyu Zhang, Qinghua Liu, Huan Wang, Caiming Xiong, Na Li, Yu Bai

CVPR 2022 Use All the Labels: A Hierarchical Multi-Label Contrastive Learning Framework Shu Zhang, Ran Xu, Caiming Xiong, Chetan Ramaiah

NeurIPS 2021 A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning Pan Zhou, Caiming Xiong, Xiaotong Yuan, Steven Chu Hong Hoi

NeurIPS 2021 Align Before Fuse: Vision and Language Representation Learning with Momentum Distillation Junnan Li, Ramprasaath Selvaraju, Akhilesh Gotmare, Shafiq Joty, Caiming Xiong, Steven Chu Hong Hoi

ICLR 2021 BERTology Meets Biology: Interpreting Attention in Protein Language Models Jesse Vig, Ali Madani, Lav R. Varshney, Caiming Xiong, Richard Socher, Nazneen Rajani

ICLR 2021 COCO: Controllable Counterfactuals for Evaluating Dialogue State Trackers Shiyang Li, Semih Yavuz, Kazuma Hashimoto, Jia Li, Tong Niu, Nazneen Rajani, Xifeng Yan, Yingbo Zhou, Caiming Xiong

ICML 2021 Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization Stanislaw Jastrzebski, Devansh Arpit, Oliver Astrand, Giancarlo B Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof J Geras

ICCV 2021 CoMatch: Semi-Supervised Learning with Contrastive Graph Regularization Junnan Li, Caiming Xiong, Steven C.H. Hoi

AAAI 2021 Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio

ICML 2021 Don’t Just Blame Over-Parametrization for Over-Confidence: Theoretical Analysis of Calibration in Binary Classification Yu Bai, Song Mei, Huan Wang, Caiming Xiong

NeurIPS 2021 Evaluating State-of-the-Art Classification Models Against Bayes Optimality Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher

ICLR 2021 GraPPa: Grammar-Augmented Pre-Training for Table Semantic Parsing Tao Yu, Chien-Sheng Wu, Xi Victoria Lin, Bailin Wang, Yi Chern Tan, Xinyi Yang, Dragomir Radev, Richard Socher, Caiming Xiong

ICML 2021 How Important Is the Train-Validation Split in Meta-Learning? Yu Bai, Minshuo Chen, Pan Zhou, Tuo Zhao, Jason Lee, Sham Kakade, Huan Wang, Caiming Xiong

ICCV 2021 Learning from Noisy Data with Robust Representation Learning Junnan Li, Caiming Xiong, Steven C.H. Hoi

ICLR 2021 MoPro: Webly Supervised Learning with Momentum Prototypes Junnan Li, Caiming Xiong, Steven Hoi

NeurIPS 2021 Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning Tengyang Xie, Nan Jiang, Huan Wang, Caiming Xiong, Yu Bai

WACV 2021 Proposal Learning for Semi-Supervised Object Detection Peng Tang, Chetan Ramaiah, Yan Wang, Ran Xu, Caiming Xiong

ICLR 2021 Prototypical Contrastive Learning of Unsupervised Representations Junnan Li, Pan Zhou, Caiming Xiong, Steven Hoi

ICLR 2021 Representation Learning for Sequence Data with Deep Autoencoding Predictive Components Junwen Bai, Weiran Wang, Yingbo Zhou, Caiming Xiong

NeurIPS 2021 Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games Yu Bai, Chi Jin, Huan Wang, Caiming Xiong

CVPR 2021 Structured Scene Memory for Vision-Language Navigation Hanqing Wang, Wenguan Wang, Wei Liang, Caiming Xiong, Jianbing Shen

UAI 2021 Task Similarity Aware Meta Learning: Theory-Inspired Improvement on MAML Pan Zhou, Yingtian Zou, Xiao-Tong Yuan, Jiashi Feng, Caiming Xiong, Steven Hoi

NeurIPS 2021 Understanding the Under-Coverage Bias in Uncertainty Estimation Yu Bai, Song Mei, Huan Wang, Caiming Xiong

CVPR 2021 WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos Mingfei Gao, Yingbo Zhou, Ran Xu, Richard Socher, Caiming Xiong

AISTATS 2020 Assessing Local Generalization Capability in Deep Models Huan Wang, Nitish Shirish Keskar, Caiming Xiong, Richard Socher

NeurIPSW 2020 DIME: An Information-Theoretic Difficulty Measure for AI Datasets Peiliang Zhang, Huan Wang, Nikhil Naik, Caiming Xiong, Richard Socher

ICML 2020 Explore, Discover and Learn: Unsupervised Discovery of State-Covering Skills Victor Campos, Alexander Trott, Caiming Xiong, Richard Socher, Xavier Giro-I-Nieto, Jordi Torres

ICLR 2020 Learning to Retrieve Reasoning Paths over Wikipedia Graph for Question Answering Akari Asai, Kazuma Hashimoto, Hannaneh Hajishirzi, Richard Socher, Caiming Xiong

NeurIPS 2020 Online Structured Meta-Learning Huaxiu Yao, Yingbo Zhou, Mehrdad Mahdavi, Zhenhui Li, Richard Socher, Caiming Xiong

NeurIPS 2020 Theory-Inspired Path-Regularized Differential Network Architecture Search Pan Zhou, Caiming Xiong, Richard Socher, Steven Chu Hong Hoi

NeurIPS 2020 Towards Theoretically Understanding Why SGD Generalizes Better than Adam in Deep Learning Pan Zhou, Jiashi Feng, Chao Ma, Caiming Xiong, Steven Chu Hong Hoi, Weinan E

NeurIPS 2020 Towards Understanding Hierarchical Learning: Benefits of Neural Representations Minshuo Chen, Yu Bai, Jason Lee, Tuo Zhao, Huan Wang, Caiming Xiong, Richard Socher

ICLR 2020 XLDA: Cross-Lingual Data Augmentation for Natural Language Inference and Question Answering Jasdeep Singh, Bryan McCann, Nitish Shirish Keskar, Caiming Xiong, Richard Socher

ICLR 2019 A Closer Look at Deep Learning Heuristics: Learning Rate Restarts, Warmup and Distillation Akhilesh Gotmare, Nitish Shirish Keskar, Caiming Xiong, Richard Socher

ICLR 2019 Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher

ICLR 2019 Coarse-Grain Fine-Grain Coattention Network for Multi-Evidence Question Answering Victor Zhong, Caiming Xiong, Nitish Shirish Keskar, Richard Socher

ICLR 2019 Competitive Experience Replay Hao Liu, Alexander Trott, Richard Socher, Caiming Xiong

ICLR 2019 Global-to-Local Memory Pointer Networks for Task-Oriented Dialogue Chien-Sheng Wu, Richard Socher, Caiming Xiong

NeurIPS 2019 Keeping Your Distance: Solving Sparse Reward Tasks Using Self-Balancing Shaped Rewards Alexander Trott, Stephan Zheng, Caiming Xiong, Richard Socher

ICML 2019 Learn to Grow: A Continual Structure Learning Framework for Overcoming Catastrophic Forgetting Xilai Li, Yingbo Zhou, Tianfu Wu, Richard Socher, Caiming Xiong

NeurIPS 2019 LiteEval: A Coarse-to-Fine Framework for Resource Efficient Video Recognition Zuxuan Wu, Caiming Xiong, Yu-Gang Jiang, Larry S. Davis

ICML 2019 On the Generalization Gap in Reparameterizable Reinforcement Learning Huan Wang, Stephan Zheng, Caiming Xiong, Richard Socher

ICLR 2019 Self-Monitoring Navigation Agent via Auxiliary Progress Estimation Chih-Yao Ma, Jiasen Lu, Zuxuan Wu, Ghassan AlRegib, Zsolt Kira, Richard Socher, Caiming Xiong

ICML 2019 Taming MAML: Efficient Unbiased Meta-Reinforcement Learning Hao Liu, Richard Socher, Caiming Xiong

ICLR 2018 A Deep Reinforced Model for Abstractive Summarization Romain Paulus, Caiming Xiong, Richard Socher

ICLR 2018 DCN+: Mixed Objective and Deep Residual Coattention for Question Answering Caiming Xiong, Victor Zhong, Richard Socher

ICLR 2018 Hierarchical and Interpretable Skill Acquisition in Multi-Task Reinforcement Learning Tianmin Shu, Caiming Xiong, Richard Socher

ICLR 2018 Interpretable Counting for Visual Question Answering Alexander Trott, Caiming Xiong, Richard Socher

ICLR 2018 Non-Autoregressive Neural Machine Translation Jiatao Gu, James Bradbury, Caiming Xiong, Victor O.K. Li, Richard Socher

ICLR 2017 Dynamic Coattention Networks for Question Answering Caiming Xiong, Victor Zhong, Richard Socher

CVPR 2017 Knowing When to Look: Adaptive Attention via a Visual Sentinel for Image Captioning Jiasen Lu, Caiming Xiong, Devi Parikh, Richard Socher

NeurIPS 2017 Learned in Translation: Contextualized Word Vectors Bryan McCann, James Bradbury, Caiming Xiong, Richard Socher

ICLR 2017 Pointer Sentinel Mixture Models Stephen Merity, Caiming Xiong, James Bradbury, Richard Socher

ICLR 2017 Quasi-Recurrent Neural Networks James Bradbury, Stephen Merity, Caiming Xiong, Richard Socher

ICML 2016 Dynamic Memory Networks for Visual and Textual Question Answering Caiming Xiong, Stephen Merity, Richard Socher

AAAI 2016 Maximum Margin Dirichlet Process Mixtures for Clustering Gang Chen, Haiying Zhang, Caiming Xiong

CVPR 2016 Recognizing Car Fluents from Video Bo Li, Tianfu Wu, Caiming Xiong, Song-Chun Zhu

CVPR 2015 Can Humans Fly? Action Understanding with Multiple Classes of Actors Chenliang Xu, Shao-Hang Hsieh, Caiming Xiong, Jason J. Corso

CVPR 2015 Joint Action Recognition and Pose Estimation from Video Bruce Xiaohan Nie, Caiming Xiong, Song-Chun Zhu

AAAI 2015 Jointly Modeling Deep Video and Compositional Text to Bridge Vision and Language in a Unified Framework Ran Xu, Caiming Xiong, Wei Chen, Jason J. Corso

CVPR 2014 Actionness Ranking with Lattice Conditional Ordinal Random Fields Wei Chen, Caiming Xiong, Ran Xu, Jason J. Corso

AAAI 2014 Latent Domains Modeling for Visual Domain Adaptation Caiming Xiong, Scott McCloskey, Shao-Hang Hsieh, Jason J. Corso

ECCV 2014 Seeing Is Worse than Believing: Reading People's Minds Better than Computer-Vision Methods Recognize Actions Andrei Barbu, Daniel Paul Barrett, Wei Chen, Siddharth Narayanaswamy, Caiming Xiong, Jason J. Corso, Christiane D. Fellbaum, Catherine Hanson, Stephen José Hanson, Sébastien Hélie, Evguenia Malaia, Barak A. Pearlmutter, Jeffrey Mark Siskind, Thomas Michael Talavage, Ronnie B. Wilbur

ECCV 2012 Streaming Hierarchical Video Segmentation Chenliang Xu, Caiming Xiong, Jason J. Corso