I am a PhD student at the College of Information Science and Technology (IST) at Penn State University since 2022. My advisor is Professor Qingyun Wu. Prior to joining IST, I received my Master’s degree in AI & ML at Imperial College London, and my Bachelor’s degree in Computer Science at the University of California, Davis.

Research Intern 2024 @ Micosoft Research, Redmond.

My research interests focuses on Large Language Models (LLMs), specifically on Multi-Agent LLM systems.

Projects

Open-source LLM agents framework: AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation (30k stars). Project GitHub. (My role: co-creator, maintainer)

Publications

StateFlow: Enhancing LLM Task-Solving through State-Driven Workflows
Yiran Wu, Tianwei Yue, Shaokun Zhang, Chi Wang, Qingyun Wu. COLM 2024.
[paper] [github]

AutoDefense: Multi-Agent LLM Defense against Jailbreak Attacks
Yifan Zeng*, Yiran Wu*, Xiaoyun Zhang, Huazheng Wang, Qingyun Wu. arxiv preprint arXiv:2403.04783
[paper] [github]

AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation
Qingyun Wu, Gagan Bansal, Jieyu Zhang, Yiran Wu, Shaokun Zhang, Erkang Zhu, Beibin Li, Li Jiang, Xiaoyun Zhang, and Chi Wang. COLM 2024. [paper] [github]

An Empirical Study on Challenging Math Problem Solving with GPT-4
Yiran Wu, Feiran Jia, Shaokun Zhang, Hangyu Li, Erkang Zhu, Yue Wang, Yin Tat Lee, Richard Peng, Qingyun Wu, and Chi Wang. ICLR 2024 Workshop on LLMAgents.
[paper] [code]

Unified off-policy learning to rank: a reinforcement learning perspective
Zeyu Zhang, Yi Su, Hui Yuan, Yiran Wu, Rishab Balasubramanian, Qingyun Wu, Huazheng Wang, Mengdi Wang. Advances in Neural Information Processing Systems 36.
[paper] [code]

Automated object detection in experimental data using combination of unsupervised and supervised methods
Yiran Wu, Zhen Wang, Crystal M Ripplinger, Daisuke Sato. Frontiers in Physiology 13, 805161
[paper]