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Deep Iterative Persona Alignment: Generating Statistically Representative LLM Personas for High-Fidelity Social Simulations

2026-02-27

Abstract excerpt

The increasing adoption of large language models for simulating human behavior offers a promising new paradigm for social science research. However, a critical limitation persists: current LLM persona generation methods prioritize individual narrative richness over accurate population-level alignment of demographic and psychological traits, thereby compromising scientific validity. To address this, we introduce De...

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Literature Corpus work
5f9ee867-1ba1-5e4a-9770-da8d13abc486
DOI
10.20944/preprints202602.1877.v1
Open publication

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Deep Iterative Persona Alignment: Generating Statistically Representative LLM Personas for High-Fidelity Social SimulationsDOI 10.20944/preprints202602.1877.v1
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