社会科学研究中大型语言模型的未来:回复 Berger (2024) 和 Carrillo 等人 (2024)。

IF 12.3 1区 心理学 Q1 PSYCHOLOGY, MULTIDISCIPLINARY
Sachin Banker, Promothesh Chatterjee, Himanshu Mishra, Arul Mishra
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引用次数: 0

摘要

Berger (2024) 和 Carrillo 等人 (2024) 在他们的评论中就社会科学中的机器辅助假设生成提出了几个深思熟虑的问题。我们将讨论他们的观点,并在此基础上加以改进。(PsycInfo 数据库记录 (c) 2024 APA,保留所有权利)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The future of large language models in social science research: Reply to Berger (2024) and Carrillo et al. (2024).

In their commentaries, Berger (2024) and Carrillo et al. (2024) raise several thoughtful questions regarding machine-assisted hypothesis generation in the social sciences. We discuss their ideas and build upon them. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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来源期刊
American Psychologist
American Psychologist PSYCHOLOGY, MULTIDISCIPLINARY-
CiteScore
18.50
自引率
1.20%
发文量
145
期刊介绍: Established in 1946, American Psychologist® is the flagship peer-reviewed scholarly journal of the American Psychological Association. It publishes high-impact papers of broad interest, including empirical reports, meta-analyses, and scholarly reviews, covering psychological science, practice, education, and policy. Articles often address issues of national and international significance within the field of psychology and its relationship to society. Published in an accessible style, contributions in American Psychologist are designed to be understood by both psychologists and the general public.
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