Ruling Out to Rule In: Contrastive Hypothesis Retrieval for Medical Question Answering
Ruling Out to Rule In: Contrastive Hypothesis Retrieval for Medical Question Answering explores A contrastive retrieval framework for medical question answering that explicitly penalizes clinically plausible incorrect answers, significantly reducing hard-negative contamination.. Commercial viability score: 7/10 in Medical AI.
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