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University of the Chinese Academy of Sciences
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Allocating prediction capacity dynamically across semantic slots can boost recommendation accuracy while keeping computational costs in check.
Pruning 77.8% of visual tokens without losing performance could revolutionize the efficiency of multimodal large language models.
