WorldVLA: Autoregressive Action World Model Integrating Vision, Language, and Action

WorldVLA outperforms standalone action and world models, highlighting the mutual enhancement between the world model and the action model.

We propose an attention mask strategy that selectively masks prior actions during the generation of the current action, showing significant performance improvement in the action chunk generation task.