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

Benchmark Model Rank Results
robot-manipulation-on-liberoLightVLA (LIBERO average)–Success Rate: 97.4
robot-manipulation-on-libero-goalLightVLA (LIBERO-Goal)–Success Rate: 98.2