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Shanghai Artificial Intelligence Laboratory
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Pruning irrelevant visual tokens can boost medical reasoning performance by over 100%, transforming how VLMs approach sparse medical images.
A unified model that seamlessly integrates brain, vision, and language reveals new insights into multimodal neural processing and outperforms traditional methods.
