References

ReAct: Synergizing Reasoning and Acting in Language Models

Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, & Yuan Cao (2022)

arXiv.

DOI: https://doi.org/10.48550/arxiv.2210.03629

Abstract. Introduces the ReAct framework, in which a language model interleaves reasoning traces with actions (tool calls), producing more interpretable and reliable agent behaviour on question answering and decision-making benchmarks.

Tags: agents language-models tool-use

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