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ADIndex: Layer-Adaptive Sparse Attention Indexing via Group-Level Distillation
Not provided in the abstract
sparse attentionindexingefficiencydeep learning
2611.12956
Builder Relevance
17h ago80%
Abstract
ADIndex proposes a novel method to enhance the efficiency of token-level sparse attention indexing, significantly reducing latency in long-context inference.
Reality Card
Core Claim
ADIndex achieves up to 6.22x prefill and 3.40x decoding kernel speedups while maintaining near-lossless task performance at a context length of 256K.
Method / Result
End-to-end serving speedup of 1.54x at a context length of 128K.
Limitations
The abstract does not specify potential limitations or reproducibility concerns.
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