Titong Jiang

The Better You Learn, the Smarter You Prune: Towards Efficient Vision-Language-Action Models Via Differentiable Token Pruning

We present LightVLA, a simple yet effective differentiable token pruning framework for vision-language-action (VLA) models. While VLA models have shown impressive capability in executing real-world robotic tasks, their deployment on resource-constrained platforms is often bottlenecked by the heavy a…