USC Introduces WhiteMatter: Cuts Cache Memory in Half, Outperforms Baseline with More Layers
burkov · x · 2026-08-21
Researchers from USC introduced WhiteMatter, a new Transformer architecture. By dynamically mixing hidden states across all layer depths into compact key-value channels, the model enables outperforming standard baselines with 50% more layers while halving cache memory consumption.
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