LEEVLA: Seeing What Matters in Latent Environment Evolution for Vision-Language-Action
LEEVLA is a VLA architecture for seeing what matters in Latent Environment Evolution that explicitly guides the model toward informative regions while preserving the structured evolution of latent world representations, confirming that explicit task-evidence guidance and structured latent reasoning are both crucial for...