Bridging the Semantic-Action Gap in Visual Token Pruning for Efficient VLA Inference

Ziyan Liu, Yeqiu Chen, Hongyi Cai +4

Vision-Language-Action (VLA) models have shown great potential for embodied AI by integrating visual perception, language understanding, and action execution. In real-time deployme…