[2505.23058] Be.FM: Open Foundation Models for Human Behavior

Abstract:Despite their success in numerous fields, the potential of foundation models for modeling and understanding human behavior remains largely unexplored. We introduce this http URL, one of the first open foundation models designed for human behavior modeling. Built upon open-source large language models and fine-tuned on a diverse range of behavioral data, this http URL can be used to understand and predict human decision-making. We construct a comprehensive set of benchmark tasks for testing the capabilities of behavioral foundation models. Our results demonstrate that this http URL can predict behaviors, infer characteristics of individuals and populations, generate insights about contexts, and apply behavioral science knowledge.

Be.FM: Open Foundation Models for Human Behavior Yutong Xie1∗ Zhuoheng Li1∗ Xiyuan Wang1∗ Yijun Pan1 Qijia Liu1 Xingzhi Cui1 Kuang-Yu Lo1 Ruoyi Gao1 Xingjian Zhang1 Jin Huang1 Walter Yuan2 Matthew O. Jackson3,4 Qiaozhu Mei1 . 1 University of Michigan 2 MobLab 3 Stanford University 4 Santa Fe Institute * Equal contribution 1…

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• Vincent Huang

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