3 papers
cs.CV2026
When and What to Prune? Stage-Aware Visual Token Pruning for Efficient VLA
Tianjun Shi, Haotian Xiong, Ziyu Gong +2
Visual token pruning is an effective way to accelerate vision-language models and is especially useful for vision-language-action (VLA) inference, where many visual tokens must be…
cs.CV2026
Beyond Textual Chain-of-Thought: A Survey on Action-Grounded Reasoning in Autonomous Driving
Zhengxu Tang, Xiaozhou Zhang, Guofeng Cui +10
Chain-of-thought (CoT) reasoning powers generative models by eliciting intermediate steps before producing an answer. In autonomous driving, the answer is a continuous action. Thus…
cs.CV2026
CoLT-Drive: Counterfactual Long-Tail Benchmarking and Knowledge-Preserving Adaptation for Driving Affordance Prediction
Zhengxu Tang, Guofeng Cui, Ziyu Gong +8
Long-tail autonomous driving failures are often framed as rare-object recognition errors. We argue that this view is incomplete: the decision-critical question is not only whether…