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.
Cambridge university press
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Agentic AI needs social theory as structural priors in the MASS framework to model emergent dynamics from multi-agent interactions.
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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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Social Theory Should Be a Structural Prior for Agentic AI: A Formal Framework for Multi-Agent Social Systems
Agentic AI needs social theory as structural priors in the MASS framework to model emergent dynamics from multi-agent interactions.