biomedical

From Retrieval to Typed Decisions: Calibrated System One Models from Biomedical Sentence Encodersarxiv.org

This paper introduces SBERT2S1, a method to convert biomedical sentence encoders into typed decision models, and BIODECIDE, a new biomedical typed-decision suite. It finds that retrieval training benefits prior-fused residual (PFR) models, cross-head (C) models generally outperform PFR, and the RLCD objective trails cross-entropy due to reward normalization issues.