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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

H-Spec is a hybrid Mamba-attention parallel drafter that consumes the two target-context sources through complementary modules, and consistently achieves higher throughput while maintaining lower KV cache utilization than baselines across evaluated concurrency levels.

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

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