papersSEP 11 04:00 UTC
HISA: Hierarchical Indexing Method for Fine-Grained Sparse Attention
A new arXiv paper proposes HISA, a hierarchical indexing approach for token-level sparse attention of the kind used in DeepSeek Sparse Attention. Such methods score every past key with a lightweight indexer before running attention on a selected subset, which becomes costly as context grows. HISA aims to make that key-selection step more efficient while keeping fine-grained selection quality.