(* denotes equal contribution, = denotes student I mentor)
AI Agents
- Training Language Model Agents without Modifying Language Models
Shaokun Zhang*, Jieyu Zhang*, Jiale Liu, Linxin Song, Chi Wang, Ranjay Krishna, Qingyun Wu.
ICML 2024
- EcoAssistant: Using LLM Assistant More Affordably and Accurately
Jieyu Zhang, Ranjay Krishna, Ahmed Awadallah, Chi Wang.
LLM Agents @ ICLR 2024
- AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation Framework
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Beibin Li, Erkang Zhu, Li Jiang, Xiaoyun Zhang, Shaokun Zhang, Jiale Liu, Ahmed Awadallah, Ryen White, Doug Burger, Chi Wang
LLM Agents @ ICLR 2024
Oral Presentation
Github 22,000+ Star & 3,000+ Fork
Benchmarks / Evaluation
- 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.
- 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
ICML 2024
Nature News Feature
- 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.
NeurIPS 2023
- WRENCH: A Comprehensive Benchmark for Weak Supervision
Jieyu Zhang, Yue Yu, Yinghao Li, Yujing Wang, Yaming Yang, Mao Yang, Alexander Ratner.
NeurIPS 2021
Oral Presentation
Data Selection / Generation
- DataComp: In Search of the Next Generation of Multimodal Datasets
34 authors.
NeurIPS 2023
Oral Presentation
- On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training
Jieyu Zhang*, Bohan Wang*, Zhengyu Hu, Pang Wei Koh, Alexander Ratner.
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 Ratner, Ranjay Krishna, Jiaming Shen, Chao Zhang.
NeurIPS 2023
- When to Learn What: Model-Adaptive Data Augmentation Curriculum
Chengkai Hou=, Jieyu Zhang, Tianyi Zhou.
ICCV 2023
- Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification
Linxin Song=, Jieyu Zhang, Tianxiang Yang, Masayuki Goto
EMNLP 2022
Data Labeling
- Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision
Jieyu Zhang*, Linxin Song=*, Alexander Ratner.
AISTATS 2023
- Characterizing the Impacts of Semi-supervised Learning for Weak Supervision
Jeffrey Li, Jieyu Zhang, Ludwig Schmidt, Alexander Ratner.
NeurIPS 2023
- Understanding Programmatic Weak Supervision via Source-aware Influence Function
Jieyu Zhang*, Haonan Wang*, Cheng-Yu Hsieh, Alexander Ratner.
NeurIPS 2022
- Creating Training Sets via Weak Indirect Supervision
Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, Alexander Ratner.
ICLR 2022
- Nemo: Guiding and Contextualizing Weak Supervision for Interactive Data Programming
Cheng-Yu Hsieh, Jieyu Zhang, Alexander Ratner.
VLDB 2022