Overview

The field studies how to store, reuse, compress, and move the key-value states that Transformers accumulate during generation, which can dominate memory and data-transfer costs in long-context inference. Methods include token eviction and learned importance scoring, quantization and compact representations, prefix or cross-request sharing, and offloading across GPU, host memory, and storage; serving systems also coordinate these choices with scheduling and batching. Evaluations commonly measure quality on long-context retrieval and reasoning benchmarks such as LongBench and RULER alongside memory use, time to first token, and throughput. The central tension is reducing cache cost without losing information needed later: results depend on the task, workload, hardware, and attention implementation, so robust policies and faithful end-to-end evaluation remain important challenges.

Latest papers

CardsList

201 papers36 papers in the last four weeks, up 13% on the four weeks before. 0.2% of all new papers.

  1. Pixel Decodability Is Not a Compression Signal: Causally Evaluating Importance Proxies for Visual KV-Cache Eviction

    Sep 14, 2026Chenyu Zhou, Qiliang Jiang, Shuning Wu +1KV CachingKV-Cache Eviction

  2. Physically Partitioned KVCache Format for CPU--GPU Load Balancing in MoE Inference

    Sep 13, 2026Enda Yu, Dezun Dong, Xiangke LiaoKV-Cache ManagementKV-Cache Offloading

  3. BIO-MEMART: Biometric-Aware KV Cache Memory for Multi-User LLM Agents

    Sep 8, 2026Yanhong Qian, Xuanying He, Qingguo Meng +3Agent MemoryPrivacy-Preserving Language Models

  4. GrowPage: On-Demand KV Budgeting for Efficient LLM Reasoning Serving

    Sep 3, 2026Qiankun Ma, Yanjiang Zhou, Zinan Xiong +5LLM InferenceKV Caching

  5. SGD-KV: Summarization Guided KV Cache Compression

    Sep 3, 2026Zeyu Liu, Woomin Song, Xuandi Fu +5KV CachingLong-Context Language Model Inference

  6. Language Models Can Control Their Own Attention

    Sep 2, 2026Namgyu Ho, Huzama Ahmad, Woosung Koh +3Efficient Language Model InferenceLong-Context Language Modeling

  7. Small Frequency Corrections Can Change What Survives KV Cache Compression

    Aug 27, 2026Hong Chen, Yudong Zeng, Yongwei Huang +5KV CachingKV-Cache Eviction

  8. Squeezing the Cache, Preserving the Truth: Monotonic Equipotential Allocation with Geodesia-KV

    Aug 19, 2026Vincenzo Dentamaro, Pancrazio Auteri, Giuseppe PirloKV-Cache CompressionKV-Cache Management

  9. vToken: Token-Level Virtualization for Reclaimable KV Caches

    Aug 13, 2026Yuanhang Gao, Xiangrui Yang, Yuanfeng Chen +4KV CachingKV-Cache Eviction

  10. Scheduling Mixed RL Rollouts Beyond Prefix Locality

    Aug 11, 2026Zetao Hong, Song Yuan, Yuanhao Ding +4LLM Inference SchedulingKV-Cache Management

  11. ImpactHO: Importance-Aware KV Cache Transfer for Multi-User Edge LLM Handover

    Aug 11, 2026Minwoo Kim, Soochang Song, Namyoon Lee +2KV CachingEdge Computing

  12. RippleKV: Cross-Layer KV Cache Allocation via Perturbation Propagation

    Aug 9, 2026Dongjie Xu, Kai Qian, Julius +6KV CachingKV-Cache Management

  13. Cascade: Exploiting SLO-Aware latency budget for fair and high goodput LLM inference serving

    Aug 6, 2026Muhammad Adnan, Rohan Mahapatra, Prashant J. Nair +4LLM ServingLLM Inference Scheduling

  14. QEvict: Recoverable Quantized KV Eviction for Attention-Drift-Robust Long-Context Decoding

    Aug 5, 2026Ayushman Garg, Akshita Gupta, Shaswata Bhattacharya +3KV CachingLong-Context Language Model Inference

  15. TaskPress: Query-Agnostic KV Cache Compression via Task-Guided Pruning

    Aug 4, 2026Wonpyo Park, Seung-won HwangLLM PruningKV Caching

  16. Practical Online KV Cache Compaction for LLM Agents: An Empirical Study

    Aug 2, 2026Yujian Liu, Jiabao Ji, Li An +4KV CachingKV-Cache Eviction

  17. Back from the Future: Key-Value Cache Management by Counter-Causal Surprise

    Jul 30, 2026Stephen Gould, Anton van den HengelKV CachingKV-Cache Eviction

  18. KAP: Bridging the Knowledge Selection-Runtime Consumption Gap in LLM Systems

    Jul 27, 2026Shuo Wang, Fang Xi, Wenyuan Huang +2LLM ServingKV-Cache Management

  19. HeadCast: Casting Attention Heads for Efficient Autoregressive Video Generation

    Jul 22, 2026Jinliang Shen, Lianghao Su, Zheming Li +4KV-Cache ManagementAutoregressive Video Generation