Distance-KV: Exploiting Relative Distance for Efficient Long-Context Inference

arXiv:2609.32663 · cs.LG, cs.CL · Submitted 2026-09-26 · Read on arXiv

cs.LG, cs.CL

Submitted: 2026-09-26

Updated: 2026-09-26

Terminology

• KV cache — 47× in this paper · explained in 3 episodes
• Benchmark — 9× in this paper · explained in 2 episodes
• Ablation — 8× in this paper · explained in 1 episode
• Sparse Attention — 6× in this paper · explained in 5 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Decode — 5× in this paper · explained in 2 episodes
• Robustness — 5× in this paper · explained in 5 episodes
• Aggregation — 4× in this paper · explained in 1 episode
• Few-Shot Learning — 3× in this paper · explained in 4 episodes
• Sparsity — 3× in this paper · explained in 4 episodes
• Verification — 3× in this paper · explained in 2 episodes
• Regularization — 2× in this paper · explained in 3 episodes
• Ablation Studies — 1× in this paper · explained in 1 episode
• Attention Mechanism — 1× in this paper · explained in 2 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Frozen model — 1× in this paper · explained in 2 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• KV cache reuse — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Pruning — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation
• Mixture of Attention Spans: Optimizing LLM Inference Efficiency with Heterogeneous Sliding-Window Lengths
• The Llama 3 Herd of Models
• Llama 2: Open Foundation and Fine-Tuned Chat Models
• Qwen2.5 Technical Report
• Qwen2.5-1M Technical Report

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