References
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
Jason Wei , Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed Chi, Quoc Le, & Denny Zhou (2022)
arXiv .
DOI: https://doi.org/10.48550/arxiv.2201.11903
Abstract. Shows that prompting large language models to 'think step by step' and produce intermediate reasoning before the final answer dramatically improves performance on arithmetic, commonsense, and symbolic reasoning tasks.
Tags: language-models prompting reasoning chain-of-thought
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