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%T Overview of Large Language Models for Social and Behavioral Scientists
%A Holtdirk, Tobias
%A Saju, Lorraine
%A Fröhling, Leon
%A Wagner, Claudia
%P 21
%V 16
%D 2025
%K large language models, LLMs; generative language models; machine learning; model performance; benchmarking
%~ GESIS
%> https://nbn-resolving.org/urn:nbn:de:0168-ssoar-101393-6
%X In this guide, we give an overview of different large language models (LLMs) and their uses for research in the social and behavioral sciences. This guide does not only introduce essential concepts necessary to understand and think about this promising new type of resource but also serves as a practical guide for navigating the ever-changing landscape of available models and supports researchers in picking the best option for their needs. To account for some of the challenges and risks associated with the use of LLMs, this guide features discussions of issues like replicability, transparency, and generalizability.
%C DEU
%C Köln
%G en
%9 Arbeitspapier
%W GESIS - http://www.gesis.org
%~ SSOAR - http://www.ssoar.info