ToLeaP: Rethinking Development of Tool Learning with Large Language Models

May 20, 2025·
Haotian Chen
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
· 0 min read
Abstract
We reproduce 50+ tool-learning evaluation benchmarks, collect 33 training datasets, and build a unified one-click evaluation platform for tool-learning agents.
Type
Publication
ArXiv Preprint 2025
publications
Haotian Chen
Authors
Research Assistant Professor · LLM Post-Training / AI4AI
I am a Research Assistant Professor at the School of Artificial Intelligence, Shanghai Jiao Tong University, where I work with Prof. Junchi Yan at RethinkLab. I study how to build AI systems that can automate long-horizon, effort-intensive, and creativity-demanding tasks such as research, engineering, and development. My current work focuses on LLM post-training for autonomous agents, agent memory and continual learning, and AI4Research / AI4AI. Before joining SJTU, I received my PhD in Data Science from Fudan University, advised by Prof. Xiangdong Zhou, and completed postdoctoral research at Tsinghua University (THUNLP), working with Prof. Zhiyuan Liu and Prof. Maosong Sun. I was also a research intern at the Machine Learning Research Group of Microsoft Research Asia, mentored by Xiao Yang, and at the Institute for Interdisciplinary Information Sciences (IIIS), Tsinghua University, working with Prof. Yang Yu.