BeClaude
Research2026-04-30

PATCH: Learnable Tile-level Hybrid Sparsity for LLMs

Source: Arxiv CS.AI

arXiv:2509.23410v4 Announce Type: replace-cross Abstract: Large language models (LLMs) deliver impressive performance but incur prohibitive memory and compute costs at deployment. Model pruning is an effective way to reduce these overheads, yet existing approaches face challenges: unstructured...

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