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Overview of Large Language Models for Social and Behavioral Scientists
[working paper]
Corporate Editor
GESIS - Leibniz-Institut für Sozialwissenschaften
Abstract 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 pract... view more
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.... view less
Classification
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods
Free Keywords
large language models, LLMs; generative language models; machine learning; model performance; benchmarking
Document language
English
Publication Year
2025
City
Köln
Page/Pages
21 p.
Series
GESIS Guides to Digital Behavioral Data, 16
Status
Published Version; reviewed