论文研究 arXiv cs.LG Mon, 27 Jul 2026 正文 thin 4 words

Learning What Matters: Supervising Sparse Attention Routing with Causal Evidence Sets

英文标题:Learning What Matters: Supervising Sparse Attention Routing with Causal Evidence Sets

arXiv:2607.21692v1 Announce Type: new Abstract: Sparse attention reduces the cost of long contexts by allowing each query to read only selected parts of the input. These selectors are often trained by distilling the attention patterns of a dense teacher, assuming that attention reveals which contex
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arXiv:2607.21692v1 Announce Type: new Abstract: Sparse attention reduces the cost of long contexts by allowing each query to read only selected parts of the input. These selectors are often trained by distilling the attention patterns of a dense teacher, assuming that attention reveals which contex

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