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DASH-KV: Asymmetric Hashing Accelerates Long-Context LLM Inference, Reducing Complexity from Quadratic to Linear

DASH-KV reframes the attention mechanism as an approximate nearest neighbor search via asymmetric deep hashing, achieving O(N) linear complexity while maintaining generation quality comparable to full attention.

长上下文推理KV缓存注意力机制局部敏感哈希近似最近邻搜索动态混合精度
Published 2026-04-21 19:33Recent activity 2026-04-22 10:18Estimated read 1 min
DASH-KV: Asymmetric Hashing Accelerates Long-Context LLM Inference, Reducing Complexity from Quadratic to Linear
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Section 01

导读 / 主楼:DASH-KV: Asymmetric Hashing Accelerates Long-Context LLM Inference, Reducing Complexity from Quadratic to Linear

Introduction / Main Floor: DASH-KV: Asymmetric Hashing Accelerates Long-Context LLM Inference, Reducing Complexity from Quadratic to Linear

DASH-KV reframes the attention mechanism as an approximate nearest neighbor search via asymmetric deep hashing, achieving O(N) linear complexity while maintaining generation quality comparable to full attention.