VL-DPO: Vision-Language-Guided Finetuning for Preference-Aligned Autonomous Driving

The rapid growth of autonomous driving datasets has enabled the scaling of powerful motion forecasting models. While large-scale pretraining provides strong performance, the standard imitation objective may not fully capture the complex nuances of human driving preferences. Meanwhile, recent advance...