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Cloud and AI BU, Huawei, Shenzhen, China
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Merging models for multi-task learning can be done without training, preserving task knowledge while minimizing interference through a focus on essential subspaces.
VideoCFR not only boosts performance in video reasoning tasks but also reveals the critical visual evidence driving model decisions without relying on human annotations.
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.