Reflective Reinforcement Tool Learning

Jan 1, 2026·
Haotian Chen
Haotian Chen
Equal contribution
,
Boye Niu
Equal contribution
,
Ke Zhang
Equal contribution
,
Yaxi Lu
,
Xin Cong
,
Zhong Zhang
,
Yankai Lin
,
Zhiyuan Liu
,
Maosong Sun
· 0 min read
Type
Publication
Submitted to ACL 2026
publications
Haotian Chen
Authors
Assistant Researcher
Haotian Chen is an Assistant Researcher at the School of Artificial Intelligence, Shanghai Jiao Tong University, working with Prof. Junchi Yan at RethinkLab. His research goal is to understand and develop AI for automating tasks that require extensive time, effort, and creative thinking. He works on automating data-driven scientific research, contributing to both alleviating the burden on humans and revolutionizing human productivity. His research focuses on Autonomous Agents, Large Language Models, and AI4Research. He received his PhD in Data Science from Fudan University and completed postdoctoral research at Tsinghua University (THUNLP), where he worked with Prof. Zhiyuan Liu and Prof. Maosong Sun. He was also a research intern at Microsoft Research Asia, where the RD-Agent project he co-developed was featured in the Microsoft Build 2025 Global Keynote.