Author

Tian-Wei Gao

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#artificial intelligence Preprint Oct 2026

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

Welfare-Aware Preference Acquisition (WAPA) uses auxiliary reference models to estimate query gains and individual utilities, then selects queries by estimated marginal welfare gain while updating recipient utilities, and it is proved exact optimality of the acquisition algorithm for the estimated welfare objective und...

Ruo-Meng Ding, Tian-Wei Gao, Lian-Rui Geng et al. · 0 citations

#artificial intelligence Preprint Mar 2024

Provable Pluralistic Alignment: Multi-Party RLHF under Offline Human Feedback

The framework thereby makes preference aggregation an explicit and statistically analyzable design choice rather than an implicit consequence of pooling human feedback, and produces a single policy with explicit collective-welfare guarantees.

Hui-Ying Zhong, Tian-Wei Gao, Z. Wu et al. · 30 citations · ⚡4