Memory Compression

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24 papers4 papers in the last four weeks, level with the four weeks before. 0.0% of all new papers.

  1. BitSparse: Compact Activation Storage for ReLU Feed-Forward Networks

    Oct 15, 2026Max Zhu, Bohang Sun, Pietro Lio +1Activation CompressionMemory Compression

    University of Cambridge · University of Oxford

  2. LCT: Losslessly Compressed Tensors with GPU friendly execution for Training

    Oct 15, 2026Max Zhu, Bohang Sun, Pietro Lio +1Memory CompressionMemory-Efficient Training

    University of Cambridge · University of Oxford

  3. N-Gram Memories at Two Bits: Quantizing Lookup Tables in Large Language Models

    Oct 15, 2026Donghoon Han, Minseop Jung, Dong Woo Kwak +2Memory CompressionLLM Compression

    Dnotitia Inc. · KAIST

  4. Latent Compaction with Test-Time Training

    Oct 14, 2026Yingfa Chen, Xingyu Shen, Chaojun Xiao +1LLM Context CompressionKV-Cache Compression

    NLP Group, DCST, IAI, BNRIST, Tsinghua University, Beijing, China

  5. AlignPred: Error-Controlled KV Cache Compression via Alignment and Predictive Coding

    Oct 13, 2026Xu Yang, Jiapeng Zhang, Zhiwei Zuo +5KV-Cache CompressionMemory Compression

    Hunan University · Central China Normal University · Tencent

  6. MemoWM: How World Models Change What Agents Need to Remember

    Oct 7, 2026Bingfan Zeng, Zhisheng Chen, Chenbo Sang +6Memory CompressionAgent Memory Management

    South China University of Technology · University of the Chinese Academy of Sciences · Beijing University of Posts and Telecommunications +5

  7. Spend Bytes on Breadth: Precision-Count Trade-offs for Decode-Time KV Compression in Long Chain-of-Thought Reasoning

    Oct 5, 2026Runguo LiCoT ReasoningKV-Cache Eviction

    University of Illinois Urbana-Champaign

  8. EchoPress: Query-Agnostic KV Cache Pruning via Virtual Context Reconstruction

    Sep 30, 2026Jiawei Lin, Saibo Geng, Thomas BourgeatKV-Cache ManagementLLM Inference Acceleration

    EPFL

  9. KV-COBRA: KV Cache Compression via Co-Optimized Bit-Rank Allocation

    Sep 21, 2026Sihyeon Ha, Jaeho Lee, Yo-Seb JeonLow-Rank CompressionKV-Cache Compression

    Pohang University of Science and Technology (POSTECH)

  10. Memory Compression for High-Fanout Agent Sandboxes

    Sep 10, 2026Mengming Li, Ceyu XU, Qijun Zhang +4Memory CompressionAgent Memory Management

    HKUST

  11. MetaKV: Adaptive KV Cache Compression for Constrained LLM Inference

    Sep 7, 2026Michael Wang, Keith Li, Roozbeh BostandoostLLM Inference EfficiencyLLM Inference

    Lake Washington School District · XSchool · UMass Amherst

  12. Good Memory Has ECC: Evaluating the Memory of Vision-Language Models Beyond Accuracy

    Aug 31, 2026Shmuel Berman, Jia DengVLM EvaluationMemory-Augmented VLMs

    Department of Computer Science Princeton University

  13. Beyond Sparse Weights: When Is Attention Compressible?

    Aug 21, 2026Chiwun Yang, Xiaoyu LiKV-Cache CompressionMemory Compression

    City University of Hong Kong · University of New South Wales

  14. Explicit, Not Longer: What Makes Epistemic Stance Survive Memory Compression

    Aug 7, 2026Alex KwonLLM Agent MemoryMemory Compression

    Independent Researcher

  15. PReM: Learning What to Preserve and When to Refresh for Context Compression

    Jul 15, 2026Bohan Yu, Lei Shen, Chenxi Zhou +5LLM Inference AccelerationLong-Context Language Model Inference

    Alibaba Group

  16. Fractal KV-Cache Archives: Lossless Symbolic Storage with In-Place Retrieval for Long-Context LLM Inference

    Jul 8, 2026Vladimir GusevResidual VQKV Caching

    Independent Researcher

  17. NativeMEM: Native Memory Compression for Long-Horizon Robotic Manipulation

    Jul 7, 2026Ziye Wang, Modi Shi, Chaojun Ni +5Memory-Augmented VLMsLong-Horizon Robotic Manipulation

    The University of Hong Kong · Beihang University · Peking University +2

  18. WhenLoss: Diagnosing Write and Retrieval Bottlenecks in Long-Context Memory Systems

    May 23, 2026Jiangnan Yu, Kisson Songqi Lin, Jilong WuLong-Context RetrievalMemory-Augmented Language Models

  19. FibQuant: Universal Vector Quantization for Random-Access KV-Cache Compression

    May 12, 2026Namyoon Lee, Yongjune KimVector QuantizationLow-Bit Quantization

    POSTECH

  20. ScrapMem: A Bio-inspired Framework for On-device Personalized Agent Memory via Optical Forgetting

    May 5, 2026Jiale Chang, Yuxiang RenMultimodal MemoryLLM Agent Memory

    Nanjing Agricultural University · Nanjing University

  21. Sequential KV Cache Compression via Probabilistic Language Tries: Beyond the Per-Vector Shannon Limit

    Apr 10, 2026Gregory MagarshakKV-Cache CompressionMemory Compression

  22. eOptShrinkQ: Near-Lossless KV Cache Compression Through Optimal Spectral Denoising and Quantization

    Apr 6, 2026Pei-Chun SuKV-Cache CompressionKV-Cache Quantization

    Department of Applied and Computational Mathematics, Yale University, New Haven, CT, USA

  23. Temporal Memory for Resource-Constrained Agents: Continual Learning via Stochastic Compress-Add-Smooth

    Mar 31, 2026Michael ChertkovMemory CompressionContinual Learning

    Graduate Inter-Disciplinary Program in Applied Mathematics, & Department of Mathematics, University Arizona, Tucson, AZ 85721

  24. VQKV: High-Fidelity and High-Ratio Cache Compression via Vector-Quantization

    Mar 17, 2026Yixuan Wang, Qingyu Shi, Jiayu Zhou +3KV-Cache CompressionKV-Cache Quantization

    LUMIA Lab, School of Artificial Intelligence, Shanghai Jiao Tong University · Shanghai Innovation Institute · Shanghai Artificial Intelligence Laboratory +2