AgentProcessBench: Diagnosing Step-Level Process Quality in Tool-Using Agents
Aug 1, 2026·,,,,,,,,
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Shengda Fan
Xuyan Ye
Yupeng Huo
Zhi-Yuan Chen
Yiju Guo
Shenzhi Yang
Wenkai Yang
Shuqi Ye
Jingwen Chen
Haotian Chen
Xin Cong
Yankai Lin
Corresponding author
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0 min readAbstract
We introduce AgentProcessBench, a benchmark that diagnoses the step-level process quality of tool-using agents rather than only their final outcomes.
Type
Publication
In Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2026)

Authors
Haotian Chen
(he/him)
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.