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ReAct: Synergizing Reasoning and Acting in Language Models
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, Yuan Cao
Paper 2022 Published 2022-10-06 ICLR 2023 arXiv:2210.03629 Indexed 2026-09-06 reasoningtool-usefoundation
Abstract
Introduces ReAct, prompting LLMs to interleave chain-of-thought reasoning with actions, becoming the paradigm backbone of most agent frameworks.
Cite this entry
GB/T 7714-2015
Shunyu Yao, Jeffrey Zhao, Dian Yu, et al. ReAct: Synergizing Reasoning and Acting in Language Models[EB/OL]. ICLR 2023, 2022(2022-10-06)[2026-11-01]. https://arxiv.org/abs/2210.03629.
BibTeX
@misc{yao2022,
author = {Shunyu Yao and Jeffrey Zhao and Dian Yu and Nan Du and Izhak Shafran and Karthik Narasimhan and Yuan Cao},
title = {ReAct: Synergizing Reasoning and Acting in Language Models},
year = {2022},
organization = {ICLR 2023},
howpublished = {\url{https://arxiv.org/abs/2210.03629}},
} This entry is part of the AgentNet Observer library. Attribute with a link to this page when quoting.