Advances in reasoning by prompting large language models: A survey

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Authors: Ruixin Hong, Xinyu Pang, Changshui Zhang
Cited by: 1
References: 64

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.

Fields of Study & Subjects

Multimodal Machine Learning Applications Topic Modeling Big Data and Digital Economy

Publication details

Journal / source
Cybernetics and Intelligence
Publisher
Tsinghua University Press
Volume
1
Issue
1
Pages
9390004–9390004
Publication date
1 March 2026
Language
EN