Preprint
Aug 2026
Rethinking LLM Verification: Evidence Structure, Uncertainty, and Selective Refinement
A two-stage framework for medical hypothesis verification in multiple-choice settings that manages this tradeoff through targeted ontology grounding, applied only when the model abstains, and shows that abstention is not random but reflects genuine uncertainty, with abstained predictions associated with lower confidence.
Uma Ranjan, Kunal Tilaganji, Aditya Koul et al.
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