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News/GOTS: Greedy Orthogonal Token Selection for High-Resolution Vision-Language Models
arxiv
PublishedJuly 28, 2026 at 4:00 AM

GOTS: Greedy Orthogonal Token Selection for High-Resolution Vision-Language Models

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arXiv:2607.23913v1 Announce Type: new Abstract: Modern vision-language models (VLMs) increasingly rely on dynamic or high-resolution visual encoding, producing thousands of visual tokens that substantially increase downstream language-model inference cost. Existing token-reduction methods assess tok

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