Latent visual reasoning with ROI-supervised fine-tuning and latent-space policy optimization raises average medical VQA accuracy from 48.3% to 53.4% on five external benchmarks.
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MedLVR: Latent Visual Reasoning for Reliable Medical Visual Question Answering
Latent visual reasoning with ROI-supervised fine-tuning and latent-space policy optimization raises average medical VQA accuracy from 48.3% to 53.4% on five external benchmarks.