GRKV: Global Regression for Training-Free KV Cache Compression in Long-Context LLMs
cs.CL
Submitted: 2026-05-29
Updated: 2026-08-31
Comments: Accepted by EMNLP 2026 Main
Code: https://github.com/pjunjie/GRKV
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Terminology
Sources
- Expected Attention: KV Cache Compression by Estimating Attention from Future Queries Distribution
- CriticalKV: Optimizing KV Cache Eviction from an Output Perturbation Perspective
- Phi-4 Technical Report
- GPT-4 Technical Report
- The Llama 3 Herd of Models
- RULER: What's the Real Context Size of Your Long-Context Language Models?
- PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling
- Palu: Compressing KV-Cache with Low-Rank Projection
- Mistral 7B
- CommonKV: Compressing KV Cache with Cross-layer Parameter Sharing
- Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks
- On the Efficacy of Eviction Policy for Key-Value Constrained Generative Language Model Inference
- Gemma 2: Improving Open Language Models at a Practical Size
- Qwen3 Technical Report
- LLaMA: Open and Efficient Foundation Language Models
- Llama 2: Open Foundation and Fine-Tuned Chat Models
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