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CommunityKV: Efficient Long-Context Decoding via Graph Partitioning

McKenna, Joe et al.
arXiv (All) · Papers
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machine-learning
Scaling Transformers to long contexts is constrained by the quadratic cost of self-attention and the linear growth of key-value cache memory transfer. Sparse attention mitigates this by retrieving only relevant tokens, but current approaches either require large-scale training or, within the trainin
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