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Allocation Before Ranking: Decoupled Token Compression for OmniLLMs
让全模态大模型告别冗余Token，解耦压缩新思路，先分配后排序，推理效率可期！
arXiv:2608.01665v1 Announce Type: new Abstract: Token compression in OmniLLMs is typically posed as a single saliency-ranking problem: score each mult…