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Automating psychological hypothesis generation with AI: when large language models meet causal graph

Psychology

Automating psychological hypothesis generation with AI: when large language models meet causal graph

S. Tong, K. Mao, et al.

This groundbreaking study by Song Tong, Kai Mao, Zhen Huang, Yukun Zhao, and Kaiping Peng uncovers a revolutionary method for generating psychological hypotheses by merging causal knowledge graphs with large language models. The researchers have successfully produced innovative hypotheses on well-being that rival expert insights, paving the way for automated discovery in psychology.

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