mlsanityData to 14 Oct 2026

KVLink: Accelerating Large Language Models via Efficient KV Cache Reuse

arXiv 2502.16002 ↗First posted 21 Feb 2025cs.CLcited by 66

On the map: Efficient LLM inference and serving → KV cache optimization

Abstract (arXiv)

We describe KVLink, an approach for efficient key-value (KV) cache reuse in large language models (LLMs). In many LLM applications, different inputs can share overlapping context, such as the same retrieved document appearing in multiple queries. However, the LLMs still need to encode the entire context for each query, leading to redundant computation. In this paper, we investigate a new strategy to eliminate such inefficiency, where the KV cache of each document is precomputed independently. During inference, the KV caches of retrieved documents are concatenated, allowing the model to reuse cached representations instead of recomputing them. To mitigate the performance degradation when using KV caches computed independently for each document, KVLink introduces two key techniques: adjusting positional embeddings of the KV cache at inference to match the global position after concatenation, and using trainable special tokens to restore self-attention across independently encoded documents. Experiments across 7 datasets demonstrate that KVLink improves question answering accuracy by an average of 4% over state-of-the-art methods. Furthermore, by leveraging precomputed KV caches, our approach reduces time-to-first-token by up to 96% compared to standard LLM inference, making it a scalable and efficient solution for context reuse. Additionally, KVLink can be combined with KV cache compression to further save cache loading and storage overhead while outperforming the baselines.

Key facts. Cited by 66 papers in the map (data through 14 Oct 2026). Placed in KV cache optimization, one of 12 directions in Efficient LLM inference and serving. Builds on 61 of its 84 references that are in the map. First posted on arXiv 21 Feb 2025.

Builds on

61 of 84 references.

Closest ancestors · 4

Same direction, newest first

  1. 2024DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads14 Oct
  2. 2024TurboRAG: Accelerating Retrieval-Augmented Generation with Precomputed KV Caches for Chunked Text10 Oct
  3. 2023Model Tells You What to Discard: Adaptive KV Cache Compression for LLMs3 Oct
  4. 2023H2O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models24 Jun

Other references · 57

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  2. 2021Training Verifiers to Solve Math Word Problemscited by 10,109
  3. 2020Measuring Massive Multitask Language Understandingcited by 7,963
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  5. 2021RoFormer: Enhanced Transformer with Rotary Position Embeddingcited by 4,703
  6. 2019HellaSwag: Can a Machine Really Finish Your Sentence?cited by 4,100
  7. 2018HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answeringcited by 3,754
  8. 2023Lost in the Middle: How Language Models Use Long Contextscited by 3,455
  9. 2017TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehensioncited by 2,955
  10. 2019PIQA: Reasoning about Physical Commonsense in Natural Languagecited by 2,883
  11. 2023Retrieval-Augmented Generation for Large Language Models: A Surveycited by 2,212
  12. 2023Efficient Streaming Language Models with Attention Sinkscited by 2,186
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  3. 2022SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Modelscited by 1,386
  4. 2018Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarizationcited by 1,317
  5. 2023AWQ: Activation-aware Weight Quantization for LLM Compression and Accelerationcited by 1,298
  6. 2020Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Stepscited by 1,282
  7. 2023Instruction-Following Evaluation for Large Language Modelscited by 1,228
  8. 2021Unsupervised Dense Information Retrieval with Contrastive Learningcited by 1,216
  9. 2020Leveraging Passage Retrieval with Generative Models for Open Domain Question Answeringcited by 1,210
  10. 2024The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scalecited by 1,160
  11. 2022When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memoriescited by 1,128
  12. 2024Tulu 3: Pushing Frontiers in Open Language Model Post-Trainingcited by 1,053
  13. 2021MuSiQue: Multihop Questions via Single-hop Question Compositioncited by 916
  14. 2017Crowdsourcing Multiple Choice Science Questionscited by 765
  15. 2024KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cachecited by 637
  16. 2023FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPUcited by 575
  17. 2019SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarizationcited by 535
  18. 2022ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformerscited by 526
  19. 2022Large Language Models Struggle to Learn Long-Tail Knowledgecited by 458
  20. 2019Multi-News: a Large-Scale Multi-Document Summarization Dataset and Abstractive Hierarchical Modelcited by 431
  21. 2023Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruningcited by 415
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  29. 2023Prompt Cache: Modular Attention Reuse for Low-Latency Inferencecited by 268
  30. 2024RAFT: Adapting Language Model to Domain Specific RAGcited by 262
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  34. 2023Accelerating Transformer Inference for Translation via Parallel Decodingcited by 124
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  36. 2024Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approachcited by 119
  37. 2024RAGCache: Efficient Knowledge Caching for Retrieval-Augmented Generationcited by 98
  38. 2020Learning Dense Representations of Phrases at Scalecited by 91

50 most cited of 57 All 57 (JSON)

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2025: 12; 2026: 54.

66 papers.

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  1. 2025Cache-to-Cache: Direct Semantic Communication Between Large Language Modelscited by 61
  2. 2025KVCOMM: Online Cross-context KV-cache Communication for Efficient LLM-based Multi-agent Systemscited by 40
  3. 2025Agentic Plan Caching: Test-Time Memory for Fast and Cost-Efficient LLM Agentscited by 27
  4. 2026Parallelizing Tool Execution and LLM Generation for Low-Latency Agent Servingcited by 20
  5. 2025CacheClip: Accelerating RAG with Effective KV Cache Reusecited by 16
  6. 2025MEPIC: Memory Efficient Position Independent Caching for LLM Servingcited by 11
  7. 2025EVICPRESS: Joint KV-Cache Compression and Eviction for Efficient LLM Servingcited by 10
  8. 2026LRAgent: Efficient KV Cache Sharing for Multi-LoRA LLM Agentscited by 10
  9. 2026KV Packet: Recomputation-Free Context-Independent KV Caching for LLMscited by 10
  10. 2025ContextPilot: Fast Long-Context Inference via Context Reusecited by 8
  11. 2026DualMap: Enabling Both Cache Affinity and Load Balancing for Distributed LLM Servingcited by 8
  12. 2026RelayCaching: Accelerating LLM Collaboration via Decoding KV Cache Reusecited by 8
38 more
  1. 2026HYPIC: Accelerating Hybrid-Attention LLM Serving with Position-Independent Cachingcited by 7
  2. 2026You Need an Encoder for Native Position-Independent Cachingcited by 6
  3. 2026Simplified Sparse Attention via Gist Tokenscited by 6
  4. 2026KVEraser: Learning to Steer KV Cache for Efficient Localized Context Erasingcited by 6
  5. 2026Models Take Notes at Prefill: KV Cache Can Be Editable and Composablecited by 6
  6. 2025Scaling Test-Time Inference with Policy-Optimized, Dynamic Retrieval-Augmented Generation via KV Caching and Decodingcited by 5
  7. 2026From Prefix Cache to Fusion RAG Cache: Accelerating LLM Inference in Retrieval-Augmented Generationcited by 5
  8. 2026Hardware Co-Design Scaling Laws via Roofline Modelling for On-Device LLMscited by 5
  9. 2026An experimental study of KV cache reuse strategies in chunk-level caching systemscited by 5
  10. 2026PEEK: Context Map as an Orientation Cache for Long-Context LLM Agentscited by 4
  11. 2026C2KV: Compressed and Composable KV Cache Reuse for Efficient LLM Inferencecited by 4
  12. 2026KV Cache Translation across Heterogeneous Large Language Modelscited by 4
  13. 2025A Comprehensive Review on Harnessing Large Language Models to Overcome Recommender System Challengescited by 3
  14. 2026TVCACHE: A Stateful Tool-Value Cache for Post-Training LLM Agentscited by 3
  15. 2026InfoFlow KV: Information-Flow-Aware KV Recomputation for Long Contextcited by 3
  16. 2026Adaptive KV Cache Reuse for Fast Long-Context LLM Servingcited by 3
  17. 2026Kamera: Unified Position-Invariant Multimodal KV Cache for Training-Free Reusecited by 3
  18. 2026LinearKV: One Cached State Suffices for Position-Independent Caching in Hybrid LLMscited by 3
  19. 2026ReCache: Efficient KV Cache Reuse and Compression for Tool-Augmented LLM Agentscited by 3
  20. 2026When KV Cache Reuse Fails in Multi-Agent Systems: Cross-Candidate Interaction is Crucial for LLM Judgescited by 2
  21. 2026TableCache: Primary Foreign Key Guided KV Cache Precomputation for Low Latency Text-to-SQLcited by 2
  22. 2026HijackKV: New Threat in Position-Independent KV Cache Reusecited by 2
  23. 2026Compute Globally, Materialize Locally: The Memory Contract of Sparse Event-KVcited by 2
  24. 2026SemPIC: Learning Semantic Position-Independent KV Cachescited by 2
  25. 2026Joint Encoding of KV-Cache Blocks for Scalable LLM Servingcited by 1
  26. 2026Parallel Context-of-Experts Decoding for Retrieval Augmented Generationcited by 1
  27. 2026GORGO: Online Tuning for Cross-Region Network-Aware LLM Servingcited by 1
  28. 2026SIFT: Selective-Index For Fast Compute of RAG Prefill by Exploiting Attention Invariancecited by 1
  29. 2026KVShareArena: KV-Cache Reuse Across Contexts and Model Checkpointscited by 1
  30. 2025CIFLEX: Contextual Instruction Flow for Sub-task Execution in Multi-Turn Interactions with a Single On-Device LLMcited by 0
  31. 2025Struc-EMB: The Potential of Structure-Aware Encoding in Language Embeddingscited by 0
  32. 2025HA-RAG: Hotness-Aware RAG Acceleration via Mixed Precision and Data Placementcited by 0
  33. 2026HUOZIIME: An On-Device LLM-enhanced Input Method for Deep Personalizationcited by 0
  34. 2026HieraSparse: Hierarchical Semi-Structured Sparse KV Attentioncited by 0
  35. 2026Towards Direct Latent-Space Synthesis for Parallel Branches in LLM-Agent Workflowscited by 0
  36. 2026ChronoStitch: Training-Free Composition of Visual KV Memories for Long-Horizon Temporal Reasoningcited by 0
  37. 2026CoinRAG: Contextualized Information Nugget KV Cache Reuse for Long-Context RAGcited by 0
  38. 2026MaSRead: Content-Addressed Reading of Replicated Latent Storescited by 0

50 most cited of 66 All 66 (JSON)

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  1. 2026Recency/Frequency Adaptive KV Caching for Large Language Model Serving
  2. 2025A3: Attention-Aware Accurate KV Cache Fusion for Fast Large Language Model Serving
  3. 2025KVzip: Query-Agnostic KV Cache Compression with Context Reconstruction
  4. 2025KVShare: An LLM Service System with Efficient and Effective Multi-Tenant KV Cache Reuse
  5. 2025CTkvr: KV Cache Retrieval for Long-Context LLMs via Centroid then Token Indexing
  6. 2024CacheBlend: Fast Large Language Model Serving for RAG with Cached Knowledge Fusion
  7. 2024ThinK: Thinner Key Cache by Query-Driven Pruning
  8. 2024Training-Free Exponential Context Extension via Cascading KV Cache