More Than Meets the Eye? Uncovering the Reasoning-Planning Disconnect in Training Vision-Language Driving Models
Researchers created a dataset to test if reasoning and planning are causally linked in Vision-Language Models for driving. They found a major disconnect: agents learn shortcuts from text priors rather than using their reasoning process for planning. This suggests current training methods create plausible but non-causal reasoning, requiring new training approaches.