October 2, 2025Open Access

LLM-Based Social Simulations Require a Boundary

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LLM-based social simulations struggle with alignment to real-world patterns, impacting their effectiveness.
Simulations often default to an 'average persona', limiting behavioral diversity essential for complex dynamics.
Three boundary problems examined include alignment, consistency, and robustness, crucial for credible simulations.
Proposed heuristic boundaries define the scope of LLM-based simulations for advancing social science understanding.

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Position paper discusses alignment and robustness in LLM-based social simulations, suggesting boundaries are essential for reliability.

Wu et al. (2025) studied this question.

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