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    2 papers

    2022Advances in Neural Information Processing Systems (NeurIPS) 2022, arXiv:2201.11903

    Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

    Ed H. Chi, Jason Wei, Quoc V. Le, Fei Xia, Denny Zhou, Xuezhi Wang, Dale Schuurmans, Brian Ichter, Maarten Bosma

    Finding: This method significantly improved accuracy on math, logical reasoning, and complex QA tasks, even for smaller models.

    chain-of-thoughtreasoning
    2022arXiv:2210.03629, DOI: 10.48550/arXiv.2210.03629

    ReAct: Synergizing Reasoning and Acting in Language Models

    Jeffrey Zhao, Dian Yu, Shunyu Yao

    Finding: ReAct outperformed prior methods on interactive decision-making tasks and improved human interpretability and trustworthiness.

    ReActfunction calling
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