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paper2023ReviewedOpen access

ReAct: Synergizing Reasoning and Acting in Language Models

Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, Yuan Cao

ICLR 2023

Abstract

Foundational work on the ReAct paradigm for LLM agents that interleave reasoning and tool-use actions, enabling complex task completion with security implications.

Categories

#ReAct#reasoning#tool-use#foundational

Framework mappings

OWASP Top 10 for Agentic Applications
  • ASI03Agent Identity & Privilege Abuse
  • ASI02Tool Misuse & Exploitation

Cite

@inproceedings{yao2023react,
  title = {{ReAct: Synergizing Reasoning and Acting in Language Models}},
  author = {Shunyu Yao and Jeffrey Zhao and Dian Yu and Nan Du and Izhak Shafran and Karthik Narasimhan and Yuan Cao},
  year = {2023},
  booktitle = {ICLR 2023},
  eprint = {2210.03629},
  archivePrefix = {arXiv},
  url = {https://arxiv.org/abs/2210.03629}
}