Cover Image

Beyond Speedup -- Utilizing KV Cache for Sampling and Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xing, Zeyu, Li, Xing, Zhen, Hui-Ling, Yuan, Mingxuan, Pan, Sinno Jialin
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

From Pruning to Grafting: Dynamic Knowledge Redistribution via Learnable Layer Fusion
by: Pei, Zehua, et al.
Published: (2024)

SVDq: 1.25-bit and 410x Key Cache Compression for LLM Attention
by: Yankun, Hong, et al.
Published: (2025)

MetaDefense: Defending Finetuning-based Jailbreak Attack Before and During Generation
by: Jiang, Weisen, et al.
Published: (2025)

Beyond KV Caching: Shared Attention for Efficient LLMs
by: Liao, Bingli, et al.
Published: (2024)

MetaMoE: Diversity-Aware Proxy Selection for Privacy-Preserving Mixture-of-Experts Unification
by: Jiang, Weisen, et al.
Published: (2026)

Beyond RAG: Task-Aware KV Cache Compression for Comprehensive Knowledge Reasoning
by: Corallo, Giulio, et al.
Published: (2025)

MiniCache: KV Cache Compression in Depth Dimension for Large Language Models
by: Liu, Akide, et al.
Published: (2024)

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

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

KVSculpt: KV Cache Compression as Distillation
by: Jiang, Bo, et al.
Published: (2026)

RotateKV: Accurate and Robust 2-Bit KV Cache Quantization for LLMs via Outlier-Aware Adaptive Rotations
by: Su, Zunhai, et al.
Published: (2025)

LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models
by: Shi, Dachuan, et al.
Published: (2025)

CSKV: Training-Efficient Channel Shrinking for KV Cache in Long-Context Scenarios
by: Wang, Luning, et al.
Published: (2024)

OjaKV: Context-Aware Online Low-Rank KV Cache Compression
by: Zhu, Yuxuan, et al.
Published: (2025)

TrimR: Verifier-based Training-Free Thinking Compression for Efficient Test-Time Scaling
by: Lin, Weizhe, et al.
Published: (2025)

KV Cache Offloading for Context-Intensive Tasks
by: Bocharnikov, Andrey, et al.
Published: (2026)

RetentiveKV: State-Space Memory for Uncertainty-Aware Multimodal KV Cache Eviction
by: Liu, Sihao, et al.
Published: (2026)

ManifoldKV: Training-Free KV Cache Compression via Euclidean Outlier Detection
by: Datta, Debajyoti, et al.
Published: (2026)

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

Crystal-KV: Efficient KV Cache Management for Chain-of-Thought LLMs via Answer-First Principle
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)

Quantization Dominates Rank Reduction for KV-Cache Compression
by: Salfati, Samuel
Published: (2026)

KVzap: Fast, Adaptive, and Faithful KV Cache Pruning
by: Jegou, Simon, et al.
Published: (2026)

TokenSelect: Efficient Long-Context Inference and Length Extrapolation for LLMs via Dynamic Token-Level KV Cache Selection
by: Wu, Wei, et al.
Published: (2024)

EliteKV: Scalable KV Cache Compression via RoPE Frequency Selection and Joint Low-Rank Projection
by: Zhou, Yuhao, et al.
Published: (2025)

Attention Is All You Need for KV Cache in Diffusion LLMs
by: Nguyen-Tri, Quan, et al.
Published: (2025)

KV Cache Transform Coding for Compact Storage in LLM Inference
by: Staniszewski, Konrad, et al.
Published: (2025)

Analytical FFN-to-MoE Restructuring via Activation Pattern Analysis
by: Pei, Zehua, et al.
Published: (2025)

SparK: Query-Aware Unstructured Sparsity with Recoverable KV Cache Channel Pruning
by: Liao, Huanxuan, et al.
Published: (2025)

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

Training-Free Exponential Context Extension via Cascading KV Cache
by: Willette, Jeffrey, et al.
Published: (2024)

Eigen Attention: Attention in Low-Rank Space for KV Cache Compression
by: Saxena, Utkarsh, et al.
Published: (2024)

LagKV: Lag-Relative Information of the KV Cache Tells Which Tokens Are Important
by: Liang, Manlai, et al.
Published: (2025)

NQKV: A KV Cache Quantization Scheme Based on Normal Distribution Characteristics
by: Cai, Zhihang, et al.
Published: (2025)

Dialogue Without Limits: Constant-Sized KV Caches for Extended Responses in LLMs
by: Ghadia, Ravi, et al.
Published: (2025)

KVSharer: Efficient Inference via Layer-Wise Dissimilar KV Cache Sharing
by: Yang, Yifei, et al.
Published: (2024)

HCAttention: Extreme KV Cache Compression via Heterogeneous Attention Computing for LLMs
by: Yang, Dongquan, et al.
Published: (2025)

SQuat: Subspace-orthogonal KV Cache Quantization
by: Wang, Hao, et al.
Published: (2025)

Unleashing Low-Bit Inference on Ascend NPUs: A Comprehensive Evaluation of HiFloat Formats
by: Zhao, Pengxiang, et al.
Published: (2026)