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Stop predicting the future, start predicting *change*: $Δ$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.
