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Open-access papers. Commentary here; the full text is linked at the source. This site does not host PDFs.

2023 · ICLR · arXiv

ReAct: Synergizing Reasoning and Acting in Language Models

Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, Yuan Cao

Reasoning and acting are one generation loop: the model thinks in language, acts on the world, and lets observations revise the next thought.

2023 · NeurIPS 2023 · arXiv

Reflexion: Language Agents with Verbal Reinforcement Learning

Shinn, Cassano, Berman, Gopinath, Narasimhan, Yao

Reflexion reinforces language agents with verbal self-reflection and an episodic memory buffer; no weight updates, faster learning from trial-and-error.

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