Yutong Xie   谢雨桐

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

My current research primarily focuses on the interdisciplinary field of AI Behavioral Science [PNAS’24, AIBS’24], which aims to investigate and understand the behaviors exhibited by AI, as well as to leverage AI methodologies to facilitate research in behavioral science.

In addition, I also have a general interest in exploring the potential of AI in fostering innovation across various domains, particularly in AI for Science [ICLR’21, ICLR’23, arXiv’24, arXiv’24] and AI for Creativity [WWW’23].

  For more information, please check my bio and curriculum vitae.
  yutxie AT umich DOT edu, yutongxie98 AT gmail DOT com
  Google Scholar, Semantic Scholar, Github, Twitter, LinkedIn

NEW! We hosted The First Workshop on AI Behavioral Science (AIBS) at KDD 2024, where we also presented a paper on comparing behaviors of different chatbots!
NEW! Our paper on a behavirol Turing test of ChatGPT was published in PNAS!

Selected Publications

For the full publication list, please refer to my Google Scholar profile.

Bridging AI and Science: Implications from a Large-Scale Literature Analysis of AI4Science
Yutong Xie*, Yijun Pan*, Hua Xu, Qiaozhu Mei.
Manuscript in submission.
[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.
[arXiv] [Code]

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.
[arXiv] [Code] [Slides]

A Turing test of whether AI chatbots are behaviorally similar to humans
Qiaozhu Mei, Yutong Xie, Walter Yuan, Matthew O. Jackson.
PNAS, 2024.
[arXiv] [SSRN] [Code] [Slides] [UMich News] [Stanford News]

A Prompt Log Analysis of Text-to-Image Generation Systems
Yutong Xie*, Zhaoying Pan*, Jinge Ma*, Luo Jie, Qiaozhu Mei.
WebConf (WWW), 2023 (The Creative Web Track).
[PDF] [arXiv] [Code] [Video] [Slides]

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.
AI for Science Workshop at ICML, 2022.
[PDF] [Code] [SlidesLive] [Slides] [Poster] [AI Time Talk]

Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection
Yutong Xie*, Ting Long*, Xianyu Chen, Weinan Zhang, Qinxiang Cao, Yong Yu.
AAAI, 2022.
[PDF] [Code] [SlidesLive] [Slides] [Poster]

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] [Code] [SlidesLive] [Slides] [Poster] [AI Time Talk] [WeChat Article]

* = equal contribution

Last updated: Jan, 2025