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cs.AI2025
Large language models replicate and predict human cooperation across experiments in game theory
Andrea Cera Palatsi, Samuel Martin-Gutierrez, Ana S. Cardenal +1
Large language models (LLMs) are increasingly deployed as decision-making agents in high-stakes domains and as imitators of human behavior in the social and behavioral sciences. Ye…
cs.AI2025
Neural network embeddings recover value dimensions from psychometric survey items on par with human data
Max Pellert, Clemens M. Lechner, Indira Sen +1
We demonstrate that embeddings derived from large language models, when processed with "Survey and Questionnaire Item Embeddings Differentials" (SQuID), can recover the structure o…