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.
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CITATION STYLE
Qiao, S., Ou, Y., Zhang, N., Chen, X., Yao, Y., Deng, S., … Chen, H. (2023). Reasoning with Language Model Prompting: A Survey. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (Vol. 1, pp. 5368–5393). Association for Computational Linguistics (ACL). https://doi.org/10.18653/v1/2023.acl-long.294
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