13 papers
Agent-driven Long-tail Simulation for Autonomous Driving
Junru Gu, Lijin Yang, Jianing Huang +3
Evaluating autonomous driving systems in closed-loop settings requires realistic and interactive simulation, yet existing simulators largely rely on log replay or rule-based agents…
BLUE: Toward Better Language Use in Efficient Vision-Language-Action Models for Autonomous Driving
George Ling, Lijin Yang, Hao Yang +1
We present BLUE, a minimal method for better language use in vision-language-action (VLA) models for autonomous driving (AD). Through extensive analysis, we reveal that language ma…
Test-Time Scaling in Multimodal Foundation Models: A Comprehensive Survey of Generation and Reasoning
Cong Wan, Ying He, Zhongzhan Huang +1
Test-time Scaling (TTS) has emerged as a pivotal research direction for enhancing model performance by dynamically allocating computational resources during inference. Recent advan…
Judge, Then Drive: A Critic-Centric Vision Language Action Framework for Autonomous Driving
Lijin Yang, Jianing Huang, Zhongzhan Huang +2
Recent advances in vision language action (VLA) models have shown remarkable potential for autonomous driving by directly mapping multimodal inputs to control signals. However, pre…
Neural Chain-of-Thought Search: Searching the Optimal Reasoning Path to Enhance Large Language Models
Guoming Ling, Zhongzhan Huang, Yupei Lin +4
Chain-of-Thought reasoning has significantly enhanced the problem-solving capabilities of Large Language Models. Unfortunately, current models generate reasoning steps sequentially…
BridgeDrive: Diffusion Bridge Policy for Closed-Loop Trajectory Planning in Autonomous Driving
Shu Liu, Wenlin Chen, Weihao Li +7
Diffusion-based planners have shown strong potential for autonomous driving by capturing multi-modal driving behaviors. A key challenge is how to effectively guide these models for…