How Well Do Large Language Models Capture Human Personality?

Abstract excerpt

Large language models (LLMs) are increasingly used to simulate human populations via persona prompting, often under the assumptions that richer persona descriptions improve behavioral fidelity, similarly sized attribute combinations are equally simulatable, and persona definitions generalize across tasks. In this work, we formalize these assumptions and systematically evaluate them across multiple architectures, s...

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• GPT gene
• Language
• Mental Disorders
• Phenotype

Identifiers and source

Literature Corpus work

78373708-f92f-58f2-8492-110f4d3812e3

DOI

10.20944/preprints202606.0052.v1