Multi-head Latent Attention
MLA
elsewhere's corpus does not directly cover Multi-head Latent Attention (MLA) — the entity card carries no description, and none of the retrieved material actually discusses it. The attention-related reporting elsewhere does have clusters around the same broader problem — making attention cheaper at long context — but through other mechanisms: DeepSeek's Native Sparse Attention (the ACL 2025 Best Paper co-authored with Liang Wenfeng, with first author Yuan Jingyang of Peking University) , MiniMax's MSA sparse attention behind M3's 1M-token context , linear attention work like PolaFormer , and retrieval-style approaches such as MSRA's Retrieval Attention . For MLA itself, there's nothing in this corpus to profile.
AI-generated — may contain errors, please verify.
Coverage
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