Eigen Attention: Attention in Low-Rank Space for KV Cache Compression
Fuente:
arXiv
Saved in:
| Main Authors: | Saxena, Utkarsh, Saha, Gobinda, Choudhary, Sakshi, Roy, Kaushik |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
TRIM: Token-wise Attention-Derived Saliency for Data-Efficient Instruction Tuning
by: Nagaraj, Manish, et al.
Published: (2025)
by: Nagaraj, Manish, et al.
Published: (2025)
OjaKV: Context-Aware Online Low-Rank KV Cache Compression
by: Zhu, Yuxuan, et al.
Published: (2025)
by: Zhu, Yuxuan, et al.
Published: (2025)
HCAttention: Extreme KV Cache Compression via Heterogeneous Attention Computing for LLMs
by: Yang, Dongquan, et al.
Published: (2025)
by: Yang, Dongquan, et al.
Published: (2025)
Quantization Dominates Rank Reduction for KV-Cache Compression
by: Salfati, Samuel
Published: (2026)
by: Salfati, Samuel
Published: (2026)
EliteKV: Scalable KV Cache Compression via RoPE Frequency Selection and Joint Low-Rank Projection
by: Zhou, Yuhao, et al.
Published: (2025)
by: Zhou, Yuhao, et al.
Published: (2025)
Beyond KV Caching: Shared Attention for Efficient LLMs
by: Liao, Bingli, et al.
Published: (2024)
by: Liao, Bingli, et al.
Published: (2024)
SWAN: Sparse Winnowed Attention for Reduced Inference Memory via Decompression-Free KV-Cache Compression
by: S, Santhosh G, et al.
Published: (2025)
by: S, Santhosh G, et al.
Published: (2025)
LoRC: Low-Rank Compression for LLMs KV Cache with a Progressive Compression Strategy
by: Zhang, Rongzhi, et al.
Published: (2024)
by: Zhang, Rongzhi, et al.
Published: (2024)
Attention Is All You Need for KV Cache in Diffusion LLMs
by: Nguyen-Tri, Quan, et al.
Published: (2025)
by: Nguyen-Tri, Quan, et al.
Published: (2025)
KVSculpt: KV Cache Compression as Distillation
by: Jiang, Bo, et al.
Published: (2026)
by: Jiang, Bo, et al.
Published: (2026)
MiniCache: KV Cache Compression in Depth Dimension for Large Language Models
by: Liu, Akide, et al.
Published: (2024)
by: Liu, Akide, et al.
Published: (2024)
KeepKV: Achieving Periodic Lossless KV Cache Compression for Efficient LLM Inference
by: Tian, Yuxuan, et al.
Published: (2025)
by: Tian, Yuxuan, et al.
Published: (2025)
ManifoldKV: Training-Free KV Cache Compression via Euclidean Outlier Detection
by: Datta, Debajyoti, et al.
Published: (2026)
by: Datta, Debajyoti, et al.
Published: (2026)
ResQ: Mixed-Precision Quantization of Large Language Models with Low-Rank Residuals
by: Saxena, Utkarsh, et al.
Published: (2024)
by: Saxena, Utkarsh, et al.
Published: (2024)
KVLinC : KV Cache Quantization with Hadamard Rotation and Linear Correction
by: Saxena, Utkarsh, et al.
Published: (2025)
by: Saxena, Utkarsh, et al.
Published: (2025)
RetentiveKV: State-Space Memory for Uncertainty-Aware Multimodal KV Cache Eviction
by: Liu, Sihao, et al.
Published: (2026)
by: Liu, Sihao, et al.
Published: (2026)
LLMs Know What to Drop: Self-Attention Guided KV Cache Eviction for Efficient Long-Context Inference
by: Wang, Guangtao, et al.
Published: (2025)
by: Wang, Guangtao, et al.
Published: (2025)
Palu: Compressing KV-Cache with Low-Rank Projection
by: Chang, Chi-Chih, et al.
Published: (2024)
by: Chang, Chi-Chih, et al.
Published: (2024)
Deep Unlearning: Fast and Efficient Gradient-free Approach to Class Forgetting
by: Kodge, Sangamesh, et al.
Published: (2023)
by: Kodge, Sangamesh, et al.
Published: (2023)
GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM
by: Kang, Hao, et al.
Published: (2024)
by: Kang, Hao, et al.
Published: (2024)
One Size Does Not Fit All: Token-Wise Adaptive Compression for KV Cache
by: Lu, Liming, et al.
Published: (2026)
by: Lu, Liming, et al.
Published: (2026)
OASIS: Online Activation Subspace Learning for Memory-Efficient Training
by: Choudhary, Sakshi, et al.
Published: (2026)
by: Choudhary, Sakshi, et al.
Published: (2026)
A3 : an Analytical Low-Rank Approximation Framework for Attention
by: Wong, Jeffrey T. H., et al.
Published: (2025)
by: Wong, Jeffrey T. H., et al.
Published: (2025)
Expected Attention: KV Cache Compression by Estimating Attention from Future Queries Distribution
by: Devoto, Alessio, et al.
Published: (2025)
by: Devoto, Alessio, et al.
Published: (2025)
Time and Memory Trade-off of KV-Cache Compression in Tensor Transformer Decoding
by: Chen, Yifang, et al.
Published: (2025)
by: Chen, Yifang, et al.
Published: (2025)
FreeKV: Boosting KV Cache Retrieval for Efficient LLM Inference
by: Liu, Guangda, et al.
Published: (2025)
by: Liu, Guangda, et al.
Published: (2025)
AttentionPredictor: Temporal Patterns Matter for KV Cache Compression
by: Yang, Qingyue, et al.
Published: (2025)
by: Yang, Qingyue, et al.
Published: (2025)
Stateful KV Cache Management for LLMs: Balancing Space, Time, Accuracy, and Positional Fidelity
by: Poudel, Pratik
Published: (2025)
by: Poudel, Pratik
Published: (2025)
KV Cache Offloading for Context-Intensive Tasks
by: Bocharnikov, Andrey, et al.
Published: (2026)
by: Bocharnikov, Andrey, et al.
Published: (2026)
SentenceKV: Efficient LLM Inference via Sentence-Level Semantic KV Caching
by: Zhu, Yuxuan, et al.
Published: (2025)
by: Zhu, Yuxuan, et al.
Published: (2025)
Beyond RAG: Task-Aware KV Cache Compression for Comprehensive Knowledge Reasoning
by: Corallo, Giulio, et al.
Published: (2025)
by: Corallo, Giulio, et al.
Published: (2025)
SVDq: 1.25-bit and 410x Key Cache Compression for LLM Attention
by: Yankun, Hong, et al.
Published: (2025)
by: Yankun, Hong, et al.
Published: (2025)
KVzap: Fast, Adaptive, and Faithful KV Cache Pruning
by: Jegou, Simon, et al.
Published: (2026)
by: Jegou, Simon, et al.
Published: (2026)
Beyond Speedup -- Utilizing KV Cache for Sampling and Reasoning
by: Xing, Zeyu, et al.
Published: (2026)
by: Xing, Zeyu, et al.
Published: (2026)
RazorAttention: Efficient KV Cache Compression Through Retrieval Heads
by: Tang, Hanlin, et al.
Published: (2024)
by: Tang, Hanlin, et al.
Published: (2024)
Crystal-KV: Efficient KV Cache Management for Chain-of-Thought LLMs via Answer-First Principle
by: Wang, Zihan, et al.
Published: (2026)
by: Wang, Zihan, et al.
Published: (2026)
MadaKV: Adaptive Modality-Perception KV Cache Eviction for Efficient Multimodal Long-Context Inference
by: Li, Kunxi, et al.
Published: (2025)
by: Li, Kunxi, et al.
Published: (2025)
ReCalKV: Low-Rank KV Cache Compression via Head Reordering and Offline Calibration
by: Yan, Xianglong, et al.
Published: (2025)
by: Yan, Xianglong, et al.
Published: (2025)
MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection
by: Lin, Bokai, et al.
Published: (2024)
by: Lin, Bokai, et al.
Published: (2024)
KV Cache Transform Coding for Compact Storage in LLM Inference
by: Staniszewski, Konrad, et al.
Published: (2025)
by: Staniszewski, Konrad, et al.
Published: (2025)
Similar Items
-
TRIM: Token-wise Attention-Derived Saliency for Data-Efficient Instruction Tuning
by: Nagaraj, Manish, et al.
Published: (2025) -
OjaKV: Context-Aware Online Low-Rank KV Cache Compression
by: Zhu, Yuxuan, et al.
Published: (2025) -
HCAttention: Extreme KV Cache Compression via Heterogeneous Attention Computing for LLMs
by: Yang, Dongquan, et al.
Published: (2025) -
Quantization Dominates Rank Reduction for KV-Cache Compression
by: Salfati, Samuel
Published: (2026) -
EliteKV: Scalable KV Cache Compression via RoPE Frequency Selection and Joint Low-Rank Projection
by: Zhou, Yuhao, et al.
Published: (2025)