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Review | Open Access

Advances in reasoning by prompting large language models: A survey

Ruixin Hong1,2,3Xinyu Pang1,2,3Changshui Zhang1,2,3( )
Institute for Artificial Intelligence (THUAI), Tsinghua University, Beijing 100084, China
Beijing National Research Center for Information Science and Technology (BNRist), Tsinghua University, Beijing 100084, China
Department of Automation, Tsinghua University, Beijing 100084, China
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Abstract

Reasoning is not only an essential aspect of human intelligence but also one of the main research topics in artificial intelligence. With the recent revolutionary developments in natural language processing, it has been observed that large language models possess a degree of reasoning capabilities. When elicited by prompting, these models can exhibit impressive performance in various reasoning tasks. In this paper, we survey the recent advances in reasoning by prompting large language models. We provide an overview of key benchmarks and categorize the different reasoning methods. Our survey focuses on the most recent advancements in this field and seeks to provide a comprehensive understanding of the current state-of-the-art.

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Cybernetics and Intelligence
Article number: 9390004

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Cite this article:
Hong R, Pang X, Zhang C. Advances in reasoning by prompting large language models: A survey. Cybernetics and Intelligence, 2026, 1(1): 9390004. https://doi.org/10.26599/CAI.2024.9390004

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Received: 27 February 2023
Revised: 30 August 2023
Accepted: 04 December 2023
Published: 07 April 2026
© The author(s) 2026.

This is an open access article under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0, http://creativecommons.org/licenses/by/4.0/).