Author

Christopher Lang

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Preprint Aug 2026

Depth-Wise Probing and Pruning of the Planning Token in a Driving Vision-Language-Action Model

Vision-language-action (VLA) models route driving decisions through a deep language model, but it is unclear how much of that depth the action itself requires. We study a representative driving VLA whose entire plan is carried by a single planning token that a generative planner decodes into a trajectory. Borrowing the...

Harisankar Babu, Benjamin Coors, Christopher Lang et al. · 0 citations

Preprint Aug 2026

Mask What Matters: Saliency-Guided Video Self-Supervised Learning for Autonomous Driving

V-JEPA4A is introduced, a domain-specialized variant of V-JEPA for autonomous driving that is pre-trained on publicly available driving videos with a novel saliency-driven masking policy that preserves and predicts context according to semantic importance and temporal relevance, yielding more informative representation...

Christopher Lang, Alexander Braun, Abhinav Valada · 0 citations