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article · 2022

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

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

Cited by 153Abstract and details only

Abstract

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Cite this paper

APA 7

Bosma, M., Chi, E., Ichter, B., Le, Q. V., Schuurmans, D., Wang, X., Wei, J., Xia, F., & Zhou, D. (2022). Chain-Of-Thought Prompting Elicits Reasoning in Large Language Models. https://doi.org/10.52202/068431-1800

MLA 9

Bosma, Maarten, et al. “Chain-Of-Thought Prompting Elicits Reasoning in Large Language Models.” 2022, pp. 24824–37, https://doi.org/10.52202/068431-1800.

Chicago

Bosma, Maarten, Ed Chi, Brian Ichter, Quoc V Le, Dale Schuurmans, Xuezhi Wang, Jason Wei, Fei Xia, and Denny Zhou. 2022. “Chain-Of-Thought Prompting Elicits Reasoning in Large Language Models.” https://doi.org/10.52202/068431-1800.

Harvard

Bosma, M. et al. (2022) ‘Chain-Of-Thought Prompting Elicits Reasoning in Large Language Models’. Available at: https://doi.org/10.52202/068431-1800.

BibTeX
@article{bosma2022chain,
  title = {{Chain-Of-Thought Prompting Elicits Reasoning in Large Language Models}},
  author = {Bosma, Maarten and Chi, Ed and Ichter, Brian and Le, Quoc V and Schuurmans, Dale and Wang, Xuezhi and Wei, Jason and Xia, Fei and Zhou, Denny},
  pages = {24824--24837},
  year = {2022},
  doi = {10.52202/068431-1800}
}

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