I obtained my PhD from Princeton University, advised by Karthik Narasimhan.

In my work, I study methods, tasks, theories, and social impact of language agents.

In my life, I read, travel, rap, and play basketball.

Selected papers

• Language Agents: From Next-Token Prediction to Digital Automation
  Shunyu Yao
  PhD Thesis
  paper | slides | talk

• SWE-agent: Agent Computer Interfaces Enable Software Engineering Language Models
  John Yang*, Carlos E. Jimenez*, Alexander Wettig, Kilian Lieret, Shunyu Yao, Karthik Narasimhan, Ofir Press
  paper | repo | tweet | project

• SWE-bench: Can Language Models Resolve Real-World Github Issues?
  Carlos E. Jimenez*, John Yang*, Alexander Wettig, Shunyu Yao, Kexin Pei, Ofir Press, Karthik Narasimhan
  ICLR 2024 (Oral)
  paper | repo | tweet | project

• Cognitive Architectures for Language Agents
  Shunyu Yao*, Theodore Sumers*, Karthik Narasimhan, Thomas L. Griffiths
  TMLR 2024
  paper | repo | tweet

• InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback
  John Yang, Akshara Prabhakar, Karthik Narasimhan, Shunyu Yao
  NeurIPS 2023 Datasets and Benchmarks Track
  paper | repo | tweet | project

• Reflexion: Language Agents with Verbal Reinforcement Learning
  Noah Shinn, Federico Cassano, Beck Labash, Ashwin Gopinath, Karthik Narasimhan, Shunyu Yao
  NeurIPS 2023
  paper | repo | tweet

• Tree of Thoughts: Deliberate Problem Solving with Large Language Models
  Shunyu Yao, Dian Yu, Jeffrey Zhao, Izhak Shafran, Thomas L. Griffiths, Yuan Cao, Karthik Narasimhan
  NeurIPS 2023 (Oral)
  paper | repo | tweet

• ReAct: Synergizing Reasoning and Acting in Language Models
  Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, Yuan Cao
  ICLR 2023 (Oral, top 5%)
  paper | repo | tweet | project | Google AI blogpost

• WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents
  Shunyu Yao*, Howard Chen*, John Yang, Karthik Narasimhan
  NeurIPS 2022
  paper | repo | tweet | project | demo | Quanta Magazine

Online talks

• Language Agents: From Next-Token Prediction to Digital Automation
• On Formulating and Evaluating Language Agents
• 从语言模型到语言智能体
• Re-thinking Reinforcement Learning in the Era of Large Language Models

Recent readings

• Advice for a Young Investigator (Santiago Cajal)
• A First Course in General Relativity (Bernard Schutz)
• The Worlds I See (Fei-fei Li)
• What Babies Know (Elizabeth Spelke)
• The Art of Doing Science and Engineering (Richard Hamming)

(last updated: May 2024)