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Zhejiang University, Fudan University
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MedUP reveals that integrating visual perception and language understanding in a single token space can dramatically enhance performance in medical vision-language tasks.
Self-evolving knowledge graphs can dramatically enhance multimodal reasoning by continuously adapting to new information and correcting errors in real-time.
AtomiMed achieves a strikingly higher correlation with human radiologist evaluations, transforming how we assess clinical report accuracy.
