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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

Incorporating LLM Embeddings for Variation Across the Human Genome

This work presents one of the first systematic frameworks to generate genetic variant-level embeddings across the entire human genome, using curated annotations from FAVOR, ClinVar, and the GWAS Catalog to construct functional text descriptions for 8.9 billion possible variants.

Hongqian Niu, Jordan G. Bryan, Jacob Williams et al. · 1 citation

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