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Bing Zhan

2 accepted papers

2026

DriveVLA-W0: World Models Amplify Data Scaling Law in Autonomous Driving

ICLR 2026poster

Scaling Vision-Language-Action (VLA) models on large-scale data offers a promising path to achieving a more generalized driving intelligence. However, VLA models are limited by a ``supervision deficit'': the vast model capacity is supervised by sparse, low-dimensional actions, leaving much of their…

Cited by 0SourcecodeScholar
2026

DynVLA: Learning World Dynamics for Action Reasoning in Autonomous Driving

ICML 2026poster

We propose DynVLA, a driving VLA model that introduces a new CoT paradigm termed Dynamics CoT. DynVLA forecasts compact world dynamics before action generation, enabling more informed and physically grounded decision-making. To obtain compact dynamics representations, DynVLA introduces a Dynamics To…

Cited by 5SourceScholar