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Continuous Actions from Discrete Minds: Latent-Aligned Planning for End-to-End Autonomous Driving
Bridging the gap between the discrete reasoning of Vision-Language Models and the continuous, physics-constrained nature of autonomous driving remains a significant challenge. In this work, we introduce LaPla, a unified Vision-Language-Action (VLA) framework featuring latent-aligned planning to seam
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