Unverified50% confidenceOpinionExact time
The indexers of most sparse attention methods still need to score the full sequence themselves, retaining quadratic overhead, so that the saved attention computation is offset by the routing cost.
1
Sources
50%
Confidence
Long-term
Relevance
11/2/2026
First Seen
Sources
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Related Claims
VerifiedLonger context windows have not eliminated the attention dilution effect, but instead bring higher per-call costs76% similarVerifiedThe root cause of attention dilution lies in Softmax normalization: the more tokens in a sequence, the effective attention weight allocated to each position decreases approximately inversely proportional to the sequence length.74% similarUnverifiedThe trade-off of the piece table is its relatively low random-access efficiency, as table entries must be traversed to locate a character position, though the impact is limited for scenarios dominated by sequential editing.74% similarUnverifiedRing Attention、FlashAttention等工程技术对显存占用进行大幅压缩，使长序列推理在商业成本范围内可行74% similarUnverifiedWhen the context window is nearly full, context compression is performed by discarding irrelevant information or generating summaries, in order to control token costs and keep the model's attention focused.74% similar
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