Cover Image

RAP: KV-Cache Compression via RoPE-Aligned Pruning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xin, Jihao, Lyu, Tian, Keyes, David, Ltaief, Hatem, Canini, Marco
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

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

Demystifying the Slash Pattern in Attention: The Role of RoPE
by: Cheng, Yuan, et al.
Published: (2026)

RoPE Distinguishes Neither Positions Nor Tokens in Long Contexts, Provably
by: Du, Yufeng, et al.
Published: (2026)

Rethinking RoPE: A Mathematical Blueprint for N-dimensional Positional Embedding
by: Liu, Haiping, et al.
Published: (2025)

CoPE: Clipped RoPE as A Scalable Free Lunch for Long Context LLMs
by: Li, Haoran, et al.
Published: (2026)

RoPE Attention Can Be Trained in Almost Linear Time
by: Cao, Yang, et al.
Published: (2024)

Circuit Complexity Bounds for RoPE-based Transformer Architecture
by: Chen, Bo, et al.
Published: (2024)

Positional versus Symbolic Attention Heads: Learning Dynamics, RoPE Geometry, and Length Generalization
by: Urrutia, Felipe, et al.
Published: (2026)

Rethinking RoPE Scaling in Quantized LLM: Theory, Outlier, and Channel-Band Analysis with Weight Rescaling
by: Qiao, Ye, et al.
Published: (2025)

Q-ROAR: Outlier-Aware Rescaling for RoPE Position Interpolation in Quantized Long-Context LLMs
by: Qiao, Ye, et al.
Published: (2025)

The Pitfalls of KV Cache Compression
by: Chen, Alex, et al.
Published: (2025)

RoPECraft: Training-Free Motion Transfer with Trajectory-Guided RoPE Optimization on Diffusion Transformers
by: Gokmen, Ahmet Berke, et al.
Published: (2025)

RAP: Runtime Adaptive Pruning for LLM Inference
by: Liu, Huanrong, et al.
Published: (2025)

Theoretical Constraints on the Expressive Power of $\mathsf{RoPE}$-based Tensor Attention Transformers
by: Li, Xiaoyu, et al.
Published: (2024)

Rotary Positional Embeddings as Phase Modulation: Theoretical Bounds on the RoPE Base for Long-Context Transformers
by: Liu, Feilong
Published: (2026)

Hurwitz Quaternion Multiplicative Quantization for KV Cache Compression
by: Swain, Kabir, et al.
Published: (2026)

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

When Fewer Layers Break More Chains: Layer Pruning Harms Test-Time Scaling in LLMs
by: Wang, Keyu, et al.
Published: (2025)

CommonKV: Compressing KV Cache with Cross-layer Parameter Sharing
by: Wang, Yixuan, et al.
Published: (2025)

ReCalKV: Low-Rank KV Cache Compression via Head Reordering and Offline Calibration
by: Yan, Xianglong, et al.
Published: (2025)

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

Palu: Compressing KV-Cache with Low-Rank Projection
by: Chang, Chi-Chih, et al.
Published: (2024)

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

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

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

ClusterKV: Manipulating LLM KV Cache in Semantic Space for Recallable Compression
by: Liu, Guangda, et al.
Published: (2024)

Why Smaller Is Slower? Dimensional Misalignment in Compressed LLMs
by: Xin, Jihao, et al.
Published: (2026)

SmallKV: Small Model Assisted Compensation of KV Cache Compression for Efficient LLM Inference
by: Zhao, Yi, et al.
Published: (2025)

TurboAngle: Near-Lossless KV Cache Compression via Uniform Angle Quantization
by: Patel, Dipkumar
Published: (2026)

Accelerating LLM Inference Throughput via Asynchronous KV Cache Prefetching
by: Dong, Yanhao, et al.
Published: (2025)

CompilerKV: Risk-Adaptive KV Compression via Offline Experience Compilation
by: Yang, Ning, et al.
Published: (2026)

Adaptive 3D-RoPE: Physics-Aligned Rotary Positional Encoding for Wireless Foundation Models
by: Zhang, Chenyu, et al.
Published: (2026)

Enhancing Large Multimodal Models with Adaptive Sparsity and KV Cache Compression
by: Zhang, Te, et al.
Published: (2025)

CoKV: Optimizing KV Cache Allocation via Cooperative Game
by: Sun, Qiheng, et al.
Published: (2025)

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

Stochastic KV Routing: Enabling Adaptive Depth-Wise Cache Sharing
by: Filippova, Anastasiia, et al.
Published: (2026)

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

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

No Token Left Behind: Reliable KV Cache Compression via Importance-Aware Mixed Precision Quantization
by: Yang, June Yong, et al.
Published: (2024)

Periodic RoPE for Infinite Context LLMs
by: Huo, Simin
Published: (2026)