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

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Authors: Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, Denny Zhou
Year: 2022
Journal: NeurIPS
DOI: 10.48550/arXiv.2201.11903
Publisher: https://arxiv.org/abs/2201.11903

Keywords: chain-of-thought, reasoning, prompting

Abstract

We explore how generating a chain of thought can improve the reasoning ability of large language models.

Cite this paper

bibtex
@misc{chainofthought2022,
  title  = {Chain-of-Thought Prompting Elicits Reasoning in Large Language Models},
  author = {Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Brian Ichter, Fei Xia, Ed H. Chi, Quoc V. Le, Denny Zhou},
  year   = {2022},
  journal = {NeurIPS},
  doi    = {10.48550/arXiv.2201.11903},
  url    = {https://doi.org/10.48550/arXiv.2201.11903},
}

Source files

Released under the MIT License.