Yutong Xie's Homepage

Yutong Xie 谢雨桐

yutxie AT umich DOT edu, yutongxie98 AT gmail DOT com
Google Scholar, LinkedIn, Twitter, Github

I am a Ph.D. candidate and a Barbour Scholar at the University of Michigan School of Information, advised by Prof. Qiaozhu Mei. Prior to this, I received my Bachelor’s degree from Shanghai Jiao Tong University as a member of the ACM Class, advised by Prof. Yong Yu and Prof. Weinan Zhang.

RESEARCH

My current research focuses on the emerging interdisciplinary field of AI Behavioral Science, whose core research questions have been discussed in our recent workshops. Particularly, my interests include (but are not limited to) the following aspects:

Understanding the behaviors exhibited by AI [PNAS'24, AIBS'24];
Leveraging AI to understand human behaviors and facilitate behavioral science research [arXiv'25];
Foundation models for human behaviors (Be.FM) [arXiv'25].

In addition, I also have a general interest in:

AI for Science [NAACL'25, arXiv'24, ICLR'23, ICLR'21];
AI for Innovation and Creativity [WWW'23].

CFP! We just launched a new research topic of AI Behavioral Science in the Frontiers in AI journal! Look forward to your contributions and let’s build the conversation together! (Summary deadline July 30, 2025)

SELECTED PUBLICATIONS

AI Behavioral Science / AI for Science / Other Topics / All Publications (Google Scholar)

AI Behavioral Science

Be.FM: Open Foundation Models for Human Behavior
Yutong Xie^*, Zhuoheng Li^*, Xiyuan Wang^*, Yijun Pan, Qijia Liu, Xingzhi Cui, Kuang-Yu Lo, Ruoyi Gao, Xingjian Zhang, Jin Huang, Walter Yuan, Matthew O. Jackson, Qiaozhu Mei.
[PDF] [arXiv] [SSRN] [Access Request]
Using Language Models to Decipher the Motivation Behind Human Behaviors
Yutong Xie, Qiaozhu Mei, Walter Yuan, Matthew O. Jackson.
Manuscript in submission.
[PDF] [arXiv] [SSRN] [Slides]
How Different AI Chatbots Behave? Benchmarking Large Language Models in Behavioral Economics Games
Yutong Xie, Yiyao Liu, Zhuang Ma, Lin Shi, Xiyuan Wang, Walter Yuan, Matthew O. Jackson, Qiaozhu Mei.
The First Workshop on AI Behavioral Science (AIBS) at KDD, 2024.
[PDF] [arXiv] [Slides]
A Turing test of whether AI chatbots are behaviorally similar to humans
Qiaozhu Mei, Yutong Xie, Walter Yuan, Matthew O. Jackson.
PNAS, 2024.
[PDF] [arXiv] [SSRN] [Code] [Slides] [UMich News] [Stanford News] [Swarma Club]

AI for Science (AI4Science)

Bridging AI and Science: Implications from a Large-Scale Literature Analysis of AI4Science
Yutong Xie^*, Yijun Pan^*, Hua Xu, Qiaozhu Mei.
Manuscript in submission.
[PDF] [arXiv] [Code]
MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows
Xingjian Zhang^*, Yutong Xie^*, Jin Huang, Jinge Ma, Zhaoying Pan, Qijia Liu, Ziyang Xiong, Tolga Ergen, Dongsub Shim, Honglak Lee, Qiaozhu Mei.
NAACL 2025 Findings.
[PDF] [arXiv] [Code] [HuggingFace]
How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules
Yutong Xie, Ziqiao Xu, Jiaqi Ma, Qiaozhu Mei.
ICLR, 2023.
[PDF] [arXiv] [Code] [SlidesLive] [Slides] [Poster] [AI Time Talk]
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery
Yutong Xie, Chence Shi, Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, Lei Li.
ICLR, 2021 (Spotlight presentation ).
[PDF] [arXiv] [Code] [SlidesLive] [Slides] [Poster] [AI Time Talk] [WeChat Article]

We also have a short video showing the evolution of AI and data mining over half a century (1969-2022), featured by KDD 2023. Come take a look :). [YouTube]