1 source
Co-authored ReAct: a simple, high-leverage template for tool-using LLM agents.
Researcher Profile
Karthik Narasimhan
Reasoning + acting for LLM agents (ReAct)
Co-author, ReAct
Co-authored ReAct: a simple, high-leverage template for tool-using LLM agents.
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Last updated
March 20, 2026
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Reasoning + acting for LLM agents (ReAct)
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ReAct: Synergizing Reasoning and Acting in Language Models
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Agents
04
Tool use
05
Tool Use
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1 source
Co-authored ReAct: a simple, high-leverage template for tool-using LLM agents.
1 source
Co-authored ReAct: a simple, high-leverage template for tool-using LLM agents.
1 source
Co-authored ReAct: a simple, high-leverage template for tool-using LLM agents.
1 source
Co-authored ReAct: a simple, high-leverage template for tool-using LLM agents.
3 sources
A strong researcher to follow if you care about reasoning-heavy language models, especially the line connecting chain-of-thought style methods, evaluation frameworks, and more agentic prompting patterns.
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