---
title: "Shunyu Yao — papers"
description: "Shunyu Yao: 6 papers in the Elamur Research library (2022–2024) — our summary of each, its ideas, references and who cites it."
canonical: "https://research.elamur.ai/free/en/authors/shunyu-yao/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/shunyu-yao/)

[home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Shunyu Yao

# Shunyu Yao

6 papers on this site (2022–2024)

[OpenAlex](https://openalex.org/A5127790042) · h-index 3 · 4 works · 2018 citations (openalex-snapshot, 2026-10-14)

Profile data from OpenAlex; authors with the same name are not always told apart.

- [SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering](https://md.research.elamur.ai/free/en/papers/yang-2024-swe-agent-agent-computer-interfaces/) — John Yang, Carlos E. Jimenez, Alexander Wettig, et al. · 2024
- [SWE-bench: Can Language Models Resolve Real-World GitHub Issues?](https://md.research.elamur.ai/free/en/papers/jimenez-2024-swe-bench-can-language-models/) — Carlos E. Jimenez, John Yang, Alexander Wettig, et al. · 2024
- [τ-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains](https://md.research.elamur.ai/free/en/papers/yao-2024-tau-bench-benchmark-tool/) — Shunyu Yao, Noah Shinn, Pedram Razavi, et al. · 2024
- [Reflexion: Language Agents with Verbal Reinforcement Learning](https://md.research.elamur.ai/free/en/papers/shinn-2023-reflexion-language-agents-verbal-reinforcement/) — Noah Shinn, Federico Cassano, Edward Berman, et al. · 2023
- [ReAct: Synergizing Reasoning and Acting in Language Models](https://md.research.elamur.ai/free/en/papers/yao-2022-react-synergizing-reasoning-acting-language/) — Shunyu Yao, Jeffrey Zhao, Dian Yu, et al. · 2022
- [WebShop: Towards Scalable Real-World Web Interaction with Grounded Language Agents](https://md.research.elamur.ai/free/en/papers/yao-2022-webshop-towards-scalable-real-world/) — Shunyu Yao, Howard Chen, John Yang, et al. · 2022
