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News/RAQ-MLA: Role-Aware Quantization for Multi-Head Latent Attention Caches
arxiv
PublishedOctober 27, 2026 at 4:00 AM

RAQ-MLA: Role-Aware Quantization for Multi-Head Latent Attention Caches

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arXiv:2610.33625v1 Announce Type: new Abstract: Multi-Head Latent Attention (MLA) has been adopted by recent frontier large language models. Instead of per-head keys and values, MLA caches a compressed KV latent that is up-projected into keys and values at decode time, together with a narrow positio

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