Zhang, Jieyu

43 publications

ICLRW 2025 EcoAct: Economic Agent Determines When to Register What Action Shaokun Zhang, Jieyu Zhang, Dujian Ding, Jiale Liu, Mirian Del Carmen Hipolito Garcia, Ankur Mallick, Daniel Madrigal, Menglin Xia, Victor Rühle, Qingyun Wu, Chi Wang

ICLRW 2025 Explaining Length Bias in LLM-Based Preference Evaluations Zhengyu Hu, Linxin Song, Jieyu Zhang, Zheyuan Xiao, Zhengyu Chen, Hui Xiong

ICLRW 2025 Language Model Preference Evaluation with Multiple Weak Evaluators Zhengyu Hu, Jieyu Zhang, Zhihan Xiong, Alexander Ratner, Hui Xiong, Ranjay Krishna

ICCV 2025 One Trajectory, One Token: Grounded Video Tokenization via Panoptic Sub-Object Trajectory Chenhao Zheng, Jieyu Zhang, Mohammadreza Salehi, Ziqi Gao, Vishnu Iyengar, Norimasa Kobori, Quan Kong, Ranjay Krishna

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

ICLRW 2025 Template Matters: Understanding the Role of Instruction Templates in Multimodal Language Model Evaluation and Training Shijian Wang, Linxin Song, Jieyu Zhang, Ryotaro Shimizu, Ao Luo, Li Yao, Cunjian Chen, Julian McAuley, Hanqian Wu

NeurIPS 2025 URDF-Anything: Constructing Articulated Objects with 3D Multimodal Language Model Zhe Li, Xiang Bai, Jieyu Zhang, Zhuangzhe Wu, Che Xu, Ying Li, Chengkai Hou, Shanghang Zhang

ICML 2025 Which Agent Causes Task Failures and When? on Automated Failure Attribution of LLM Multi-Agent Systems Shaokun Zhang, Ming Yin, Jieyu Zhang, Jiale Liu, Zhiguang Han, Jingyang Zhang, Beibin Li, Chi Wang, Huazheng Wang, Yiran Chen, Qingyun Wu

ICLRW 2024 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

NeurIPS 2024 Biomedical Visual Instruction Tuning with Clinician Preference Alignment Hejie Cui, Lingjun Mao, Xin Liang, Jieyu Zhang, Hui Ren, Quanzheng Li, Xiang Li, Carl Yang

NeurIPS 2024 DataComp-LM: In Search of the Next Generation of Training Sets for Language Models Jeffrey Li, Alex Fang, Georgios Smyrnis, Maor Ivgi, Matt Jordan, Samir Gadre, Hritik Bansal, Etash Guha, Sedrick Keh, Kushal Arora, Saurabh Garg, Rui Xin, Niklas Muennighoff, Reinhard Heckel, Jean Mercat, Mayee Chen, Suchin Gururangan, Mitchell Wortsman, Alon Albalak, Yonatan Bitton, Marianna Nezhurina, Amro Abbas, Cheng-Yu Hsieh, Dhruba Ghosh, Josh Gardner, Maciej Kilian, Hanlin Zhang, Rulin Shao, Sarah Pratt, Sunny Sanyal, Gabriel Ilharco, Giannis Daras, Kalyani Marathe, Aaron Gokaslan, Jieyu Zhang, Khyathi Chandu, Thao Nguyen, Igor Vasiljevic, Sham Kakade, Shuran Song, Sujay Sanghavi, Fartash Faghri, Sewoong Oh, Luke Zettlemoyer, Kyle Lo, Alaaeldin El-Nouby, Hadi Pouransari, Alexander Toshev, Stephanie Wang, Dirk Groeneveld, Luca Soldaini, Pang Wei Koh, Jenia Jitsev, Thomas Kollar, Alexandros G. Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, Vaishaal Shankar

ICLRW 2024 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

ICLRW 2024 EcoAssistant: Using LLM Assistants More Affordably and Accurately Jieyu Zhang, Ranjay Krishna, Ahmed Hassan Awadallah, Chi Wang

CVPR 2024 Iterated Learning Improves Compositionality in Large Vision-Language Models Chenhao Zheng, Jieyu Zhang, Aniruddha Kembhavi, Ranjay Krishna

ECCV 2024 M&m’s: A Benchmark to Evaluate Tool-Use for Multi-Step Multi-Modal Tasks Zixian Ma, Weikai Huang, Jieyu Zhang, Tanmay Gupta, Ranjay Krishna

ICML 2024 Offline Training of Language Model Agents with Functions as Learnable Weights Shaokun Zhang, Jieyu Zhang, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu

ICML 2024 SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun R Loomba, Shichang Zhang, Yizhou Sun, Wei Wang

NeurIPS 2024 Task Me Anything Jieyu Zhang, Weikai Huang, Zixian Ma, Oscar Michel, Dong He, Tanmay Gupta, Wei-Chiu Ma, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna

NeurIPSW 2024 Taskverse: A Benchmark Generation Engine for Multi-Modal Language Model Jieyu Zhang, Weikai Huang, Zixian Ma, Oscar Michel, Dong He, Tanmay Gupta, Wei-Chiu Ma, Ali Farhadi, Aniruddha Kembhavi, Ranjay Krishna

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

NeurIPS 2023 Characterizing the Impacts of Semi-Supervised Learning for Weak Supervision Jeffrey Li, Jieyu Zhang, Ludwig Schmidt, Alexander J Ratner

TMLR 2023 ChemSpacE: Interpretable and Interactive Chemical Space Exploration Yuanqi Du, Xian Liu, Nilay Mahesh Shah, Shengchao Liu, Jieyu Zhang, Bolei Zhou

NeurIPS 2023 DataComp: In Search of the Next Generation of Multimodal Datasets Samir Yitzhak Gadre, Gabriel Ilharco, Alex Fang, Jonathan Hayase, Georgios Smyrnis, Thao Nguyen, Ryan Marten, Mitchell Wortsman, Dhruba Ghosh, Jieyu Zhang, Eyal Orgad, Rahim Entezari, Giannis Daras, Sarah Pratt, Vivek Ramanujan, Yonatan Bitton, Kalyani Marathe, Stephen Mussmann, Richard Vencu, Mehdi Cherti, Ranjay Krishna, Pang Wei W Koh, Olga Saukh, Alexander J Ratner, Shuran Song, Hannaneh Hajishirzi, Ali Farhadi, Romain Beaumont, Sewoong Oh, Alex Dimakis, Jenia Jitsev, Yair Carmon, Vaishaal Shankar, Ludwig Schmidt

CVPR 2023 Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning Qiang He, Huangyuan Su, Jieyu Zhang, Xinwen Hou

NeurIPS 2023 Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias Yue Yu, Yuchen Zhuang, Jieyu Zhang, Yu Meng, Alexander J Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang

ICLR 2023 Learning Hyper Label Model for Programmatic Weak Supervision Renzhi Wu, Shen-En Chen, Jieyu Zhang, Xu Chu

AISTATS 2023 Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision Jieyu Zhang, Linxin Song, Alex Ratner

NeurIPSW 2023 NLPBench: Evaluating Large Language Models on Solving NLP Problems Linxin Song, Jieyu Zhang, Lechao Cheng, Pengyuan Zhou, Tianyi Zhou, Irene Li

NeurIPS 2023 On the Trade-Off of Intra-/Inter-Class Diversity for Supervised Pre-Training Jieyu Zhang, Bohan Wang, Zhengyu Hu, Pang Wei W Koh, Alexander J Ratner

NeurIPSW 2023 SCIBENCH: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models Xiaoxuan Wang, Ziniu Hu, Pan Lu, Yanqiao Zhu, Jieyu Zhang, Satyen Subramaniam, Arjun Loomba, Shichang Zhang, Yizhou Sun, Wei Wang

TMLR 2023 Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang, Kenji Kawaguchi, Xiaokui Xiao

ICCV 2023 Subclass-Balancing Contrastive Learning for Long-Tailed Recognition Chengkai Hou, Jieyu Zhang, Haonan Wang, Tianyi Zhou

NeurIPS 2023 SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality Cheng-Yu Hsieh, Jieyu Zhang, Zixian Ma, Aniruddha Kembhavi, Ranjay Krishna

NeurIPS 2023 Uncovering Neural Scaling Laws in Molecular Representation Learning Dingshuo Chen, Yanqiao Zhu, Jieyu Zhang, Yuanqi Du, Zhixun Li, Qiang Liu, Shu Wu, Liang Wang

ICCV 2023 When to Learn What: Model-Adaptive Data Augmentation Curriculum Chengkai Hou, Jieyu Zhang, Tianyi Zhou

LoG 2022 A Survey on Deep Graph Generation: Methods and Applications Yanqiao Zhu, Yuanqi Du, Yinkai Wang, Yichen Xu, Jieyu Zhang, Qiang Liu, Shu Wu

ICLRW 2022 ChemSpacE: Toward Steerable and Interpretable Chemical Space Exploration Yuanqi Du, Xian Liu, Shengchao Liu, Jieyu Zhang, Bolei Zhou

ICLR 2022 Creating Training Sets via Weak Indirect Supervision Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, Alexander Ratner

ICMLW 2022 Representation Gap in Deep Reinforcement Learning Qiang He, Huangyuan Su, Jieyu Zhang, Xinwen Hou

NeurIPS 2022 Understanding Programmatic Weak Supervision via Source-Aware Influence Function Jieyu Zhang, Haonan Wang, Cheng-Yu Hsieh, Alexander J Ratner

NeurIPS 2021 Optimizing Information-Theoretical Generalization Bound via Anisotropic Noise of SGLD Bohan Wang, Huishuai Zhang, Jieyu Zhang, Qi Meng, Wei Chen, Tie-Yan Liu

IJCAI 2021 TAXOGAN: Hierarchical Network Representation Learning via Taxonomy Guided Generative Adversarial Networks (Extended Abstract) Carl Yang, Jieyu Zhang, Jiawei Han

AAAI 2021 Taxonomy Completion via Triplet Matching Network Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li