Xingyao Wang (王星尧)

Pronouns: he/him/his. How to pronounce?

I am a second-year PhD student in the Department of Computer Science at the University of Illinois Urbana-Champaign, advised by Prof. Heng Ji. I also work closely with Prof. Hao Peng.

I’m interested in developing interactive language agents, such as chatbots and robots, capable of engaging in multi-turn interactions with human through natural language and (both online and physical) environments through programming languages like Python.

I received my undergraduate degree at the University of Michigan in computer science and data science. Previously, I was an intern at Google Research (2023), Microsoft (2022), Bytedance (2021), and Tencent (2020).

Beyond research, I contribute to open-source software and am a core contributor to OpenDevin Stargazers .


2024 Apr Check out our newly released paper, introducing a SOTA reasoning generalist Eurus model and UltraInteract (data)! UltraInteract collects trees (We love trees 🌲!) of multi-turn interactions with preference pairs that support both SFT and preference learning for challenging reasoning problems!
2024 Feb LLM agents act better when they take actions by generating Python code: Check out our new reprint on an LLM agent (CodeAct) deeply integrated with Python! Feel free to chat with our demo here!
2024 Jan MINT and CRAFT are accepted to ICLR 2024! See y’all in Vienna this May!
2023 May Excited to share that I’ll be joining Google Research NYC this summer as a student researcher!
2021 Dec I’m pleased to receive honorable mention for the Outstanding Undergraduate Researcher Awards!

selected publications


  1. Advancing LLM Reasoning Generalists with Preference Trees
    Lifan Yuan, Ganqu Cui, Hanbin Wang, Ning Ding, Xingyao Wang, Jia Deng, Boji Shan, Huimin Chen, Ruobing Xie, Yankai Lin, Zhenghao Liu, Bowen Zhou, Hao Peng, Zhiyuan Liu, and Maosong Sun
    Arxiv preprint, Apr 2024
  2. Executable Code Actions Elicit Better LLM Agents
    LLMAgents Workshop @ ICLR 2024 (Oral), Feb 2024
  3. MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
    In Proceedings of the International Conference on Learning Representations, May 2024
  4. CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets
    Lifan Yuan*Yangyi Chen*Xingyao WangYi R. FungHao Peng, and Heng Ji
    In Proceedings of the International Conference on Learning Representations, May 2024
  5. LeTI: Learning to Generate from Textual Interactions
    Xingyao WangHao PengReyhaneh Jabbarvand, and Heng Ji
    In Findings of the Association for Computational Linguistics: (NAACL), Jun 2024


  1. Code4Struct: Code Generation for Few-Shot Event Structure Prediction
    Xingyao WangSha Li, and Heng Ji
    In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), Jul 2023


Honorable Mention, Computing Research Association Outstanding Undergraduate Researcher Award 2022
James B. Angell Scholar, University of Michigan 2021
EMNLP 2023 Student Travel Award (5 out of 94) 2021
University Honors, University of Michigan. 2017-2021


Google Research
Student Researcher
Summer 2023
New York City, NY, USA
Research Intern
Summer 2022
Remote, USA
Natural Language Processing Intern
Summer 2021
Beijing, China
Software Engineering Intern
Summer 2020
Shenzhen, Guangdong, China