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chain-of-thought

ReAct: Synergizing Reasoning and Acting in Language Models - Summary

The paper introduces ReAct, a novel prompt-based paradigm that synergizes reasoning and acting in language models for general task solving. ReAct generates both verbal reasoning traces and actions in an interleaved manner, allowing the model to perform dynamic reasoning to create, maintain, and adj

CAMEL: Communicative Agents for "Mind" Exploration of LLMs - Summary

The paper proposes a novel communicative agent framework named role-playing to facilitate autonomous cooperation among communicative agents and provide insight into their “cognitive” processes. The approach involves using inception prompting to guide chat agents toward task completion while maintai