Introduces a 1.2-million-character narrative dataset from 92 residents, benchmarks 18 LLMs on fidelity with life-history profiles, and presents curriculum-LoRA as a low-cost personalization method that matches high-fidelity baselines at 10x lower token cost.
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
Introduces a 1.2-million-character narrative dataset from 92 residents, benchmarks 18 LLMs on fidelity with life-history profiles, and presents curriculum-LoRA as a low-cost personalization method that matches high-fidelity baselines at 10x lower token cost.
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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.