ToLeaP: Rethinking Development of Tool Learning with Large Language Models
1月 1, 2026·
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0 分钟阅读时长
Haotian Chen
Equal contribution
,Zijun Song
Equal contribution
,Boye Niu
Equal contribution
,Ke Zhang
Equal contribution
,Litu Ou
Equal contribution
,Yaxi Lu
Zhong Zhang
Xin Cong
Yankai Lin
Zhiyuan Liu
Maosong Sun
摘要
We reproduce 50+ tool-learning evaluation benchmarks, collect 33 training datasets, and build a unified one-click evaluation platform for tool-learning agents.
类型
出版物
Submitted to ACL 2026

Authors
Haotian Chen
(he/him)
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.