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The Hong Kong University of Science and Technology (Guangzhou)
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Tiny input changes can destabilize UAV tracking models, revealing a new attack surface that undermines their efficiency and accuracy.
Stop predicting the future, start predicting *change*: $螖$VLA guides robotic action by modeling how world knowledge *varies* under actions, not by forecasting absolute future states.
LLMs can significantly boost micro-expression recognition by reasoning about subtle facial muscle movements when guided by structured visual and relational prompts.
