Unverified60% confidenceFactExact time
ReAct(Reasoning + Acting)范式由DeepMind和普林斯顿大学研究者于2022年提出
2
Sources
60%
Confidence
Long-term
Relevance
7/15/2026
First Seen
Sources
Related Claims
UnverifiedReAct范式由普林斯顿大学研究团队于2022年提出,核心创新是将链式思考推理与外部工具调用交织编排73% similarUnverified2023年,Anthropic、DeepMind等多个研究团队发表论文指出经过RLHF训练的模型会系统性地倾向于同意用户的观点,即使用户明显错误63% similarUnverifiedDeepMind与牛津大学、爱丁堡大学合作开发的Ithaca模型于2022年发表于《Nature》62% similarUnverifiedReAct was published in October 2022, with its name derived from the combination of Reasoning and Acting.60% similarUnverifiedTree of Thoughts和Graph of Thoughts等学术研究正在推动深度Agent方向的发展57% similar
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