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Who Should We Listen to More? Welfare-Aware Preference Acquisition for Pluralistic Alignment

Pluralistic alignment needs to accommodate diverse preferences under limited human feedback. Using AI simulators to label preference comparisons reduces annotation costs, but variation in simulation accuracy across individuals can leave some people's preferences poorly represented in training.

By Ruomeng Ding, Tianwei Gao, Lianrui Geng, Mohit Bansal, Zhun DengarXiv cs.LG

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Originally published by arXiv cs.LG on Oct 15, 2026.

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