Presents resident narrative dataset, benchmarks 18 LLMs on life-history prompting, proposes curriculum-LoRA for low-cost personalization matching high-fidelity baselines, and integrates into closed-loop policy evaluation system.
Using large language models to simulate multiple humans and replicate human subject studies
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PrivacySIM shows that conditioning LLMs on user personas like demographics and attitudes improves simulation of privacy choices but reaches only 40.4% accuracy against real responses from 1,000 users.
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Benchmarking LLMs for Community Governance Simulation with Life-history Narratives
Presents resident narrative dataset, benchmarks 18 LLMs on life-history prompting, proposes curriculum-LoRA for low-cost personalization matching high-fidelity baselines, and integrates into closed-loop policy evaluation system.
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PrivacySIM: Evaluating LLM Simulation of User Privacy Behavior
PrivacySIM shows that conditioning LLMs on user personas like demographics and attitudes improves simulation of privacy choices but reaches only 40.4% accuracy against real responses from 1,000 users.