AI RESEARCH
QuantVLA: Scale-Calibrated Post-Training Quantization for Vision-Language-Action Models
arXiv CS.LG
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ArXi:2602.20309v4 Announce Type: replace Vision-language-action (VLA) models unify perception, language, and control for embodied agents but face significant challenges in practical deployment due to rapidly increasing compute and memory demands, especially as models scale to longer horizons and larger backbones. To address these bottlenecks, we