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cs.RO2026
FastVLA: Task-Conditioned and Temporally Adaptive Visual Token Compression for Efficient Vision-Language-Action Models
Jiuyi Xu, Chengyuan Qian, Zhengzhong Tu +2
Vision-Language-Action (VLA) models present a promising paradigm for general-purpose robot manipulation, but closed-loop deployment is often limited by inference efficiency: at eac…
cs.RO2026
VLAQuantBench: Closed-Loop Evaluation of Post-Training Quantization for Vision-Language-Action Models
Jiuyi Xu, Qing Jin, Meida Chen +3
Post-training quantization reduces the memory requirements of vision-language-action (VLA) models, but precision selection must account for the interaction between layer scope, num…
cs.LG2026
Generalization Bounds of Stochastic Gradient Descent in Homogeneous Neural Networks
Wenquan Ma, Yang Sui, Jiaye Teng +3
Algorithmic stability is among the most potent techniques in generalization analysis. However, its derivation usually requires a stepsize under non-convex…