arxiv
PublishedJune 11, 2026 at 4:00 AM
Reroute, Don't Remove: Recoverable Visual Token Routing for Vision-Language Models
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arXiv:2606.12412v1 Announce Type: cross Abstract: Vision-language models (VLMs) project images into hundreds to thousands of visual tokens, making decoder inference expensive in both attention computation and KV-cache memory. Existing visual-token reduction methods largely follow a rank-and-remove p
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