1 citations · 1 across the 6 of their papers we have counts for
Showing 2026Show all
2 papers · 1 filter
cs.RO2026
Restoring Linguistic Grounding in VLA Models via Train-Free Attention Recalibration
Ninghao Zhang, Bin Zhu, Shijie Zhou +1
Vision-Language-Action (VLA) models enable robots to perform manipulation tasks directly from natural language instructions and are increasingly viewed as a foundation for generali…
cs.LG2026
Switchable Activation Networks
Laha Ale, Ning Zhang, Scott A. King +1
Deep neural networks, and more recently large-scale generative models such as large language models (LLMs) and large vision-action models (LVAs), achieve remarkable performance acr…