Author

Eldar Kurtic

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#machine learning Preprint Sep 2026

WUSH-KV: KV Cache Quantization with Data-Adaptive Transforms

KV cache memory and bandwidth costs grow with context length and batch size, which limits efficient long-context inference. To address this bottleneck, we introduce WUSH-KV for low-bit KV-cache quantization. It adapts WUSH, which constructs a data-aware transform from the second-order statistics of both factors in a ma...

Jiale Chen, Vage Egiazarian, Eldar Kurtic et al. · 0 citations

#machine learning Preprint Sep 2026

H-Spec: Parallel Speculative Decoding Without a Drafter-Side KV Cache

Speculative decoding losslessly accelerates large language model inference by having a lightweight draft model predict future tokens for verification by the target model. Recent block diffusion drafters further reduce drafting latency by predicting multiple tokens in parallel. However, existing block drafters project t...

Wei-Fan Jiang, Krishna Teja Chitty-Venkata, Megan Flynn et al. · 0 citations