research

• 2026
  VLA-ACL: Action-Consistent Visual Token Pruning for Efficient Vision-Language-Action Models

  submitted

  Using an action consistency objective, we prune up to 90% of visual tokens during VLA inference, reducing computations by 75% while retaining performance in both simulation and real-world manipulation tasks.

  arxiv · github · huggingface