1 source
Co-authored ReAct: a simple, high-leverage template for tool-using LLM agents.
Researcher Profile
Izhak Shafran
Reasoning + acting for LLM agents (ReAct)
Co-author, ReAct
Co-authored ReAct: a simple, high-leverage template for tool-using LLM agents.
Topics
About This Page
This profile is meant to help you get oriented quickly: why this researcher matters, what to read first, and where to explore next.
Last updated
March 20, 2026
Best First Clicks
Known For
The ideas, systems, and research directions that make this person worth knowing.
01
Reasoning + acting for LLM agents (ReAct)
02
ReAct: Synergizing Reasoning and Acting in Language Models
03
Agents
04
Tool use
05
Tool Use
Start Here
Canonical papers, project pages, or repositories that anchor this profile.
Related Researchers
People worth exploring next because they share topics, labs, or source material with this profile.
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.
Start HereStanford CRFM people page