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...