Chain-of-Thought Prompting Elicits Reasoning in Large Language Models
← Back to topic
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},
}