Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Authors: Denny Zhou, Nathanael Scharli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Claire Cui, Olivier Bousquet, Quoc V. Le, Ed H. Chi

Year: 2023

Venue: ICLR

Type: article

URL: https://arxiv.org/abs/2205.10625

arXiv: 2205.10625

Cite as: [@zhou2023leasttomost]

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BibTeX

@inproceedings{zhou2023leasttomost,
  title = {Least-to-Most Prompting Enables Complex Reasoning in Large Language Models},
  author = {Denny Zhou and Nathanael Scharli and Le Hou and Jason Wei and Nathan Scales and Xuezhi Wang and Dale Schuurmans and Claire Cui and Olivier Bousquet and Quoc V. Le and Ed H. Chi},
  year = {2023},
  booktitle = {ICLR},
  url = {https://arxiv.org/abs/2205.10625}
}

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