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Lanzhou University
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Injecting physics-inspired spatial priors into video MLLMs drastically enhances temporal stability and segmentation accuracy without sacrificing image-level performance.
State-of-the-art performance in social intelligence reasoning is achieved by ensuring long-tail events are prioritized over head events through innovative knowledge distillation techniques.