LLMs in the Lab: Can AI Predict What Real Participants Do?

Abstract excerpt

<title>Abstract</title> <p>Can large language models (LLMs) simulate participant-level datasets from experimental designs such that their statistical properties, such as effect directions, magnitudes, and significance, align with those of actual human data? In this work, we tested whether LLMs can generate simulated datasets that reproduce the core findings of real randomized controlled trials (RCTs) using only t...

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• Environment
• Individuality
• Intelligence
• Phenotype
• Socioeconomic Factors

Identifiers and source

Literature Corpus work

e47dd897-dd13-5fe9-b72c-ea4757e49a0d

DOI

10.21203/rs.3.rs-8827610/v1