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Zhejiang University
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MedPixel achieves state-of-the-art performance in medical image reasoning by seamlessly integrating pixel-level grounding with clinical language understanding.
PriorTR reveals that ignoring model-induced priors can lead to the loss of critical task-specific information, enhancing MLLM efficiency without sacrificing accuracy.
