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Most Influential ACL 2023 Paper · 2026-03 edition

Reasoning with Language Model Prompting: A Survey

Shuofei Qiao, Yixin Ou, Ningyu Zhang, Xiang Chen, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Huajun Chen

Venue
Annual Meeting of the Association for Computational Linguistics (ACL) 2023
Recognition
Most Influential ACL 2023 Paper (Rank No. 13)
Edition
2026-03
Impact factor
6
Certificate ID
6030225a8b2e4a02

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 https://github. com/zjunlp/Prompt4ReasoningPapers (updated periodically).

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