2 papers
cs.RO2026
FailPatch: Failure Residual Patching for Vision-Language-Action Models
Peng Yu, Jiacheng Wang, Ziheng Zhang +6
Vision-Language-Action (VLA) policies are typically adapted using successful demonstrations, which provide direct action supervision but rarely cover failure-prone states. Deployme…
cs.CV2026
Quant Experts: Token-aware Adaptive Error Reconstruction with Mixture of Experts for Large Vision-Language Models Quantization
Chenwei Jia, Baoting Li, Xuchong Zhang +3
Post-Training Quantization (PTQ) has emerged as an effective technique for alleviating the substantial computational and memory overheads of Vision-Language Models (VLMs) by compre…