Apr 20
Evaluating LLMs as Human Surrogates in Controlled Experiments
★★★★★
significance 3/5
This research evaluates the effectiveness of using Large Language Models to simulate human behavior in experimental settings. The study compares LLM-generated responses to human data in a survey experiment, finding that while models capture aggregate patterns, they do not consistently match human-scale effect magnitudes.
Why it matters
Unreliable LLM behavioral modeling threatens the validity of using synthetic agents to replace human subjects in social and psychological research.
Tags
#llm #behavioral research #human surrogates #synthetic dataRelated coverage
- Global South OpportunitiesPivotal Research Fellowship 2026 (Q3): AI Safety Research Opportunity - Global South Opportunities
- arXiv cs.AIAn Intelligent Fault Diagnosis Method for General Aviation Aircraft Based on Multi-Fidelity Digital Twin and FMEA Knowledge Enhancement
- arXiv cs.AIPExA: Parallel Exploration Agent for Complex Text-to-SQL
- arXiv cs.AIThe Power of Power Law: Asymmetry Enables Compositional Reasoning
- arXiv cs.AIOn the Existence of an Inverse Solution for Preference-Based Reductions in Argumentation