Audience segmentation restores heterogeneity in LLM social simulations, with moderate granularity and data-driven selection often improving structural and predictive fidelity on U.S. climate-opinion data while no configuration dominates all evaluation dimensions.
J., Jung, S., & Salminen, J
2 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 2verdicts
UNVERDICTED 2representative citing papers
Empirical test of Ai2 Asta finds high citation use in reports but significant instability in cited references and lack of concordance with retrieved documents across repeated identical queries.
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Restoring Heterogeneity in LLM-based Social Simulation: An Audience Segmentation Approach
Audience segmentation restores heterogeneity in LLM social simulations, with moderate granularity and data-driven selection often improving structural and predictive fidelity on U.S. climate-opinion data while no configuration dominates all evaluation dimensions.
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Unraveling the Ai2 Asta Scholarly Research Assistant Citation System
Empirical test of Ai2 Asta finds high citation use in reports but significant instability in cited references and lack of concordance with retrieved documents across repeated identical queries.