@inproceedings{qiao-etal-2023-reasoning,
    title = "Reasoning with Language Model Prompting: A Survey",
    author = "Qiao, Shuofei  and
      Ou, Yixin  and
      Zhang, Ningyu  and
      Chen, Xiang  and
      Yao, Yunzhi  and
      Deng, Shumin  and
      Tan, Chuanqi  and
      Huang, Fei  and
      Chen, Huajun",
    editor = "Rogers, Anna  and
      Boyd-Graber, Jordan  and
      Okazaki, Naoaki",
    booktitle = "Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2023",
    address = "Toronto, Canada",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2023.acl-long.294",
    doi = "10.18653/v1/2023.acl-long.294",
    pages = "5368--5393",
    abstract = "Reasoning, as an essential ability for complex problem-solving, can provide back-end support for various real-world applications, such as medical diagnosis, negotiation, etc. This paper provides a comprehensive survey of cutting-edge research on reasoning with language model prompting. We introduce research works with comparisons and summaries and provide systematic resources to help beginners. We also discuss the potential reasons for emerging such reasoning abilities and highlight future research directions. Resources are available at \url{https://github.com/zjunlp/Prompt4ReasoningPapers} (updated periodically).",
}

Reasoning, as an essential ability for complex problem-solving, can provide back-end support for various real-world applications, such as medical diagnosis, negotiation, etc. This paper provides a comprehensive survey of cutting-edge research on reasoning with language model prompting. We introduce research works with comparisons and summaries and provide systematic resources to help beginners. We also discuss the potential reasons for emerging such reasoning abilities and highlight future research directions. Resources are available at \url{https://github.com/zjunlp/Prompt4ReasoningPapers} (updated periodically).
Qiao, Shuofei Ou, Yixin Zhang, Ningyu Chen, Xiang Yao, Yunzhi Deng, Shumin Tan, Chuanqi Huang, Fei Chen, Huajun
Reasoning with Language Model Prompting: A Survey