The next generation of experimental research with LLMs

IF 15.9 1区 心理学 Q1 MULTIDISCIPLINARY SCIENCES Nature Human Behaviour Pub Date : 2025-03-31 DOI:10.1038/s41562-025-02137-1
Gary Charness, Brian Jabarian, John A. List
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Abstract

Large language models (LLMs) can enhance experimental research via the design and implementation of studies, and data analysis. When available, we suggest using LLM-based tools that require no coding skills and only a simple human–AI interaction. We discuss the social risks associated with this integration.

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下一代法学硕士实验研究
大型语言模型(llm)可以通过研究的设计和实施以及数据分析来加强实验研究。如果可用,我们建议使用基于llm的工具,不需要编码技能,只需要简单的人机交互。我们将讨论与这种整合相关的社会风险。
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来源期刊
Nature Human Behaviour
Nature Human Behaviour Psychology-Social Psychology
CiteScore
36.80
自引率
1.00%
发文量
227
期刊介绍: Nature Human Behaviour is a journal that focuses on publishing research of outstanding significance into any aspect of human behavior.The research can cover various areas such as psychological, biological, and social bases of human behavior.It also includes the study of origins, development, and disorders related to human behavior.The primary aim of the journal is to increase the visibility of research in the field and enhance its societal reach and impact.
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