Author

Kai-Xuan Zhou

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#artificial intelligence Preprint Sep 2026

Planning in the Backbone: DiffAdapterVLA for Native Continuous Trajectory Generation with Driving VLMs

Pretrained driving vision-language models (VLMs) integrate visual, route, language, and driving context into rich driving priors, yet their representation objectives remain separated from continuous driving planning. Existing methods typically begin trajectory generation only after the VLM has formed a final condition,...

Chang-Xin Lu, Xiao-Liang Meng, Yu Wu et al. · 0 citations

#artificial intelligence Preprint Aug 2026

Aligning Multi-Trajectory Supervision with Policy Optimization for VLA Driving

A novel framework that aligns multi-trajectory supervision with policy optimization, and introduces two complementary mechanisms: feasibility-first advantage assignment and dynamic distillation to ensure that expanded trajectory supervision is effectively absorbed during policy optimization.

Tian Zhang, Zhuo Huang, Hong-Rui Ye et al. · 0 citations

Preprint Aug 2026

SimWAM: A Simple World Action Model for End-to-End Autonomous Driving

SimWAM, a simple yet effective WAM that leverages future-video prediction as a training-time supervision signal, co-trains a pretrained video expert and a lightweight action expert with joint flow matching and applies reinforcement learning to optimize a compositional driving reward beyond trajectory imitation.

Zongchuang Zhao, Xin Zhou, Tianyang Xu et al. · 4 citations