Unverified50% confidenceFactExact time
滑动窗口注意力（如Mistral采用的方案）通过限制每个token只关注固定窗口内的历史，将复杂度从O(n²)降至O(n·w)
1
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50%
Confidence
Long-term
Relevance
7/21/2026
First Seen
Sources
Related Claims
Unverified滑动窗口注意力将计算复杂度从O(n²)降至O(n×w)，是Mistral模型家族的核心创新之一83% similarUnverifiedSliding Window Attention reduces the standard Transformer's O(n²) complexity to O(n·w), but the model cannot directly see information outside the window.82% similarUnverifiedSliding window attention reduces the complexity of attention computation from O(n²) to O(n·w), linearizing GPU memory overhead for long texts.82% similarUnverified滑动窗口注意力（SWA）由 Mistral AI 广泛采用，将注意力复杂度从 O(N²) 降至 O(N×W)81% similarUnverifiedSliding Window Attention, adopted by models such as Mistral, limits each token's attention range to a fixed window.80% similar
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