Recall Before You Rank: Similarity-Guided Top-K Reuse for Efficient Long-Context Attention
Read the original at arxiv.org→arXiv:2607.27692v1 Announce Type: new Abstract: Top-$K$ sparse attention reduces the cost of Softmax and value aggregation by attending to only a small subset of key--value (KV) entries. However, identifying this...
Original headline: "Recall Before You Rank: Similarity-Guided Top-$K$ Reuse for Efficient Long-Context Attention"
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- Jul 31, 04:00 UTC arXiv cs.CL lead source Recall Before You Rank: Similarity-Guided Top-$K$ Reuse for Efficient Long-Context Attention