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 https://github.com/zjunlp/Prompt4ReasoningPapers (updated periodically).
@article{arxiv.2212.09597,
title = {Reasoning with Language Model Prompting: A Survey},
author = {Shuofei Qiao and Yixin Ou and Ningyu Zhang and Xiang Chen and Yunzhi Yao and Shumin Deng and Chuanqi Tan and Fei Huang and Huajun Chen},
journal= {arXiv preprint arXiv:2212.09597},
year = {2023}
}
Comments
ACL 2023, 24 pages, add references of theoretical analysis