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Interpreting and Steering LLM Agents for Social Simulations

Fan, Jiayue Gaveal et al.
arXiv (OAI Expanded) · Papers
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Simulations based on large language models (LLMs) have proven to be powerful for understanding human behavior, making them valuable additions to the social scientific toolkit. However, LLMs are ultimately black boxes based on deep neural networks which limits their value for social science. This is
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