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cs.CV2026
When Can Test-Time Adaptation Help Zero-Shot CT Vision-Language Models?
Ailar Mahdizadeh, Puria Azadi Moghadam, Xiangteng He +1
3D CT vision-language models (VLMs) classify abnormalities from text prompts in a zero-shot manner, enabling cross-institution deployment where labels are scarce and clinical tasks…
cs.CV2026
Analyzing and Improving Fine-grained Preference Optimization in Medical LVLMs
Shayan Mohammadizadehsamakosh, Pritam Sarkar, Leonid Sigal +2
Preference optimization is increasingly used to post-train medical large vision-language models (LVLMs), yet it operates at a much coarser granularity than the one that defines cli…