Cover Image

GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLM

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kang, Hao, Zhang, Qingru, Kundu, Souvik, Jeong, Geonhwa, Liu, Zaoxing, Krishna, Tushar, Zhao, Tuo
Format:	Preprint
Published:	2024
Subjects:	Machine Learning Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

KeepKV: Achieving Periodic Lossless KV Cache Compression for Efficient LLM Inference
by: Tian, Yuxuan, et al.
Published: (2025)

Lossless KV Cache Compression to 2%
by: Yang, Zhen, et al.
Published: (2024)

KVTuner: Sensitivity-Aware Layer-Wise Mixed-Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference
by: Li, Xing, et al.
Published: (2025)

ChunkKV: Semantic-Preserving KV Cache Compression for Efficient Long-Context LLM Inference
by: Liu, Xiang, et al.
Published: (2025)

EvolKV: Evolutionary KV Cache Compression for LLM Inference
by: Yu, Bohan, et al.
Published: (2025)

FreeKV: Boosting KV Cache Retrieval for Efficient LLM Inference
by: Liu, Guangda, et al.
Published: (2025)

Demystifying AI Platform Design for Distributed Inference of Next-Generation LLM models
by: Bambhaniya, Abhimanyu, et al.
Published: (2024)

PyramidInfer: Pyramid KV Cache Compression for High-throughput LLM Inference
by: Yang, Dongjie, et al.
Published: (2024)

KV-Distill: Nearly Lossless Learnable Context Compression for LLMs
by: Chari, Vivek, et al.
Published: (2025)

SDQ: Sparse Decomposed Quantization for LLM Inference
by: Jeong, Geonhwa, et al.
Published: (2024)

RocketKV: Accelerating Long-Context LLM Inference via Two-Stage KV Cache Compression
by: Behnam, Payman, et al.
Published: (2025)

WindowKV: Task-Adaptive Group-Wise KV Cache Window Selection for Efficient LLM Inference
by: Zuo, Youhui, et al.
Published: (2025)

EchoKV: Efficient KV Cache Compression via Similarity-Based Reconstruction
by: Ji, Shiyu, et al.
Published: (2026)

Efficient Long-Context LLM Inference via KV Cache Clustering
by: Hu, Jie, et al.
Published: (2025)

Compressing KV Cache for Long-Context LLM Inference with Inter-Layer Attention Similarity
by: Ma, Da, et al.
Published: (2024)

Inference-Time Hyper-Scaling with KV Cache Compression
by: Łańcucki, Adrian, et al.
Published: (2025)

VeriCache: Turning Lossy KV Cache into Lossless LLM Inference
by: Yao, Jiayi, et al.
Published: (2026)

SentenceKV: Efficient LLM Inference via Sentence-Level Semantic KV Caching
by: Zhu, Yuxuan, et al.
Published: (2025)

OBCache: Optimal Brain KV Cache Pruning for Efficient Long-Context LLM Inference
by: Gu, Yuzhe, et al.
Published: (2025)

Ada-KV: Optimizing KV Cache Eviction by Adaptive Budget Allocation for Efficient LLM Inference
by: Feng, Yuan, et al.
Published: (2024)

HeteroCache: A Dynamic Retrieval Approach to Heterogeneous KV Cache Compression for Long-Context LLM Inference
by: Shi, Zhiyuan, et al.
Published: (2026)

PolyKV: A Shared Asymmetrically-Compressed KV Cache Pool for Multi-Agent LLM Inference
by: Patel, Ishan, et al.
Published: (2026)

Taming the Fragility of KV Cache Eviction in LLM Inference
by: Feng, Yuan, et al.
Published: (2025)

ThinKV: Thought-Adaptive KV Cache Compression for Efficient Reasoning Models
by: Ramachandran, Akshat, et al.
Published: (2025)

Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference
by: Ramachandran, Akshat, et al.
Published: (2024)

BUZZ: Beehive-structured Sparse KV Cache with Segmented Heavy Hitters for Efficient LLM Inference
by: Zhao, Junqi, et al.
Published: (2024)

ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference
by: Sun, Hanshi, et al.
Published: (2024)

SemantiCache: Efficient KV Cache Compression via Semantic Chunking and Clustered Merging
by: Wu, Shunlong, et al.
Published: (2026)

Q-Filters: Leveraging QK Geometry for Efficient KV Cache Compression
by: Godey, Nathan, et al.
Published: (2025)

KV-Compress: Paged KV-Cache Compression with Variable Compression Rates per Attention Head
by: Rehg, Isaac
Published: (2024)

TTKV: Temporal-Tiered KV Cache for Long-Context LLM Inference
by: Dzikanyanga, Gradwell, et al.
Published: (2026)

DASH-KV: Accelerating Long-Context LLM Inference via Asymmetric KV Cache Hashing
by: Guo, Jinyu, et al.
Published: (2026)

DepthKV: Layer-Dependent KV Cache Pruning for Long-Context LLM Inference
by: Dehghanighobadi, Zahra, et al.
Published: (2026)

LongFlow: Efficient KV Cache Compression for Reasoning Models
by: Su, Yi, et al.
Published: (2026)

NestedKV: Nested Memory Routing for Long-Context KV Cache Compression
by: Chen, Hong, et al.
Published: (2026)

Shadow in the Cache: Unveiling and Mitigating Privacy Risks of KV-cache in LLM Inference
by: Luo, Zhifan, et al.
Published: (2025)

DeltaKV: Residual-Based KV Cache Compression via Long-Range Similarity
by: Hao, Jitai, et al.
Published: (2026)

Mitigating KV Cache Competition to Enhance User Experience in LLM Inference
by: Shen, Haiying, et al.
Published: (2025)

CaliDrop: KV Cache Compression with Calibration
by: Su, Yi, et al.
Published: (2025)

IndexMem: Learned KV-Cache Eviction with Latent Memory for Long-Context LLM Inference
by: Yang, Xintong, et al.
Published: (2026)