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cs.CL2026
D-Quant: Driftable Entropy Coding for KV Cache Quantization
Yi Su, Hong Liu, Guanghua Yu +1
The KV cache has become a major bottleneck in deploying LLMs, as its memory footprint grows linearly with sequence length and batch size, imposing substantial pressure on both memo…
cs.CL2026
PIVOT: Efficient Query-Group Indexing for Token-Level Sparse Attention
Hong Liu, Yuan Cheng, Lin Niu +5
Token-level sparse attention, as implemented by DeepSeek Sparse Attention (DSA) in production systems, makes the downstream attention efficient but shifts the bottleneck to the ind…
cs.CL2026
Where Matters More Than What: Decoding-aligned KV Cache Compression via Position-aware Pseudo Queries
Zhenxu Tian, Yi Su, Juntao Li +1
The Key-Value (KV) cache is crucial for efficient Large Language Models (LLMs) inference, but excessively long contexts drastically increase KV cache memory footprint. Existing KV…