Removing GT Trajectories Prevents Anchoring Bias in Driving VLAs

Exposing teacher models to ground-truth future trajectories in autonomous driving training induces anchoring bias and hallucinations. Removing these trajectories forces the model to infer decisions from scene evidence, resulting in more causally faithful reasoning.