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Token pruning can be reframed as implicit weight pruning, offering a novel training-free approach that significantly improves the performance-efficiency trade-off in large vision language models.
Achieve centimeter-level 6-DoF LiDAR localization in forests using only 250KB maps, outperforming point cloud methods and handling long-term changes.