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This paper introduces DVMap, a framework for fine-grained pluralistic value alignment in LLMs that uses high-consensus demographic-value mapping instead of coarse national labels, achieving strong generalization across demographics, countries, and values.
This paper proposes SoVA, a framework using GraphRAG to align LLM-based agents with human social values by converting psychological theories into prescriptive instructions. Experiments on the DAILYDILEMMAS benchmark show significant improvements over prompt-based baselines.