MedProb: Probing Internal Representations of Vision-Language Models for Medical Question Answering
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arXiv:2609.04336v1 Announce Type: new Abstract: Medical visual question answering (Med-VQA) is often assumed to require medical fine-tuning, large models, or complex multi-agent pipelines. We revisit this assumption with \textbf{MedProb}, a lightweight probing framework that predicts multiple-choic…
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- 2026-09-07 04:00 · arXiv cs.CL
MedProb: Probing Internal Representations of Vision-Language Models for Medical Question Answering