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A single spatial token, learned via occupancy prediction on a massive dataset, is surprisingly effective at injecting crucial spatial awareness into vision-language navigation, leading to state-of-the-art performance.
Forget training wheels: DeepScan unlocks significant gains in LVLM visual reasoning *without* any additional training, achieving state-of-the-art results on V*.
