2023ReviewedOpen 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}
}