Unverified50% confidenceFactExact time
ReAct框架由DeepMind于2022年提出，将语言模型推理拆解为思考→行动→观察的循环结构，允许交替进行内部推理与外部工具调用
1
Sources
50%
Confidence
Long-term
Relevance
7/12/2026
First Seen
Sources
GPT-5.6 and Grok 4.5 Launch Simultaneously, Meta Unveils Agent-Based Image Model
bilibiliEverAI酱7/8/2026
Related Claims
VerifiedThe ReAct framework's core idea is to have language models alternate between reasoning (generating chains of thought) and acting (calling external tools)82% similarVerifiedThe ReAct framework was proposed by a Princeton University team in 2022; its core idea is to have large language models alternately perform thinking and action, incorporating environmental feedback into the next round of reasoning to form a closed loop.82% similarVerifiedThe core idea of ReAct is to interweave the language model's thinking and actions, forming an iterative loop of Think → Act → Observe, which differs from the pure reasoning chain of Chain-of-Thought.78% similarUnverifiedThe ReAct framework was published at NeurIPS in 2022 by Yao et al., demonstrating that interleaving natural language reasoning traces with action steps significantly outperforms using chain-of-thought alone or action sequences alone.77% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/490208API
curl https://kongchang.com/api/v1/knowledge/claims/490208MCP
get_claim(id=490208)