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CAR-VLA: Complexity-Aware and Risk-Adaptive Reasoning for Autonomous Driving
Existing adaptive reasoning methods for driving Vision-Language-Action (VLA) models primarily focus on whether to reason, overlooking how reasoning should differ across driving situations. Our key insight is that while scene complexity informs reasoning depth, dynamic risk is equally critical for de
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