DriveCache is proposed, a training-free, action-aware controller that uses planned motion to allocate reuse across scenes and dynamic programming to place it across denoising steps under a calibrated response budget, which improves the overall fidelity-efficiency trade-off over evaluated cache methods.
Jianchun Yang, Jian Liang, Xian-Da Guo et al.· 0 citations
OnPoKD is the first framework that applies on-policy distillation to vision-language model adaptation by learning target construction as a policy decision, and is the first framework that applies on-policy distillation to vision-language model adaptation by learning target construction as a policy decision.
Hong-Yuan Zhang, Xian-Da Guo, Yan-Lun Peng et al.· Information Fusion· 0 citations
Vision-Language Model (VLM) agents have advanced zero-shot object-goal navigation, yet single-frame reasoning leaves them without the cross-step behavioral awareness an embodied navigator requires, producing recurring failures such as dead-end stalls, in-room loops, and circuitous approaches to detected targets. Prompt...
Rui Sang, Yiqun Duan, Pinhan Fu et al.· arXiv.org· 0 citations
TrustVLA is introduced, a mechanism-guided inference-time defense that adapts the Dirichlet evidence framework from trusted classification to monitor per-token, per-layer epistemic uncertainty in VLA policies, providing a retraining-free, mechanism-guided defense for visual-triggered VLA backdoors.
Pin-Han Fu, Xian-Da Guo, Xue-Tao Li et al.· arXiv.org· 0 citations
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