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History-Conditioned Spatio-Temporal Visual Token Pruning for Efficient Vision-Language Navigation
Vision-Language Navigation (VLN) enables robots to follow natural-language instructions in visually grounded environments, serving as a key capability for embodied robotic systems. Recent Vision-Language-Action (VLA) models have demonstrated strong navigation performance, but their high computationa
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