Reasoning with Language Model Prompting: A Survey

December 19, 2022 ยท Declared Dead ยท ๐Ÿ› Annual Meeting of the Association for Computational Linguistics

๐Ÿฆด CAUSE OF DEATH: Skeleton Repo
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Repo contents: LICENSE, README.md, tutorial.pdf

Authors Shuofei Qiao, Yixin Ou, Ningyu Zhang, Xiang Chen, Yunzhi Yao, Shumin Deng, Chuanqi Tan, Fei Huang, Huajun Chen arXiv ID 2212.09597 Category cs.CL: Computation & Language Cross-listed cs.AI, cs.CV, cs.IR, cs.LG Citations 406 Venue Annual Meeting of the Association for Computational Linguistics Repository https://github.com/zjunlp/Prompt4ReasoningPapers โญ 996 Last Checked 1 month ago
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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