2 papers
cs.CV2026
VL-DPO: Vision-Language-Guided Finetuning for Preference-Aligned Autonomous Driving
Zhefan Xu, Ghassen Jerfel, Marina Haliem +3
The rapid growth of autonomous driving datasets has enabled the scaling of powerful motion forecasting models. While large-scale pretraining provides strong performance, the standa…
cs.LG2025
Scaling Laws of Motion Forecasting and Planning -- Technical Report
Mustafa Baniodeh, Kratarth Goel, Scott Ettinger +14
We study the empirical scaling laws of a family of encoder-decoder autoregressive transformer models on the task of joint motion forecasting and planning in the autonomous driving…