Option-Aware Retrieval and Task-Specific VLM Adaptation for Medical VQA
This submission to the MedReason 2026 challenge is described, covering multiple-choice (MCQ) and open-ended (OE) medical visual question answering (VQA) under fully offline, containerized inference, and it is found that MCQ retrieval must compare answer \emph{semantics} rather than answer labels.
Tristan Kirscher, N. Koser, Sören Pirk
· 0 citations