Cover Image

LaCache: Ladder-Shaped KV Caching for Efficient Long-Context Modeling of Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shi, Dachuan, Fu, Yonggan, Yuan, Xiangchi, Yu, Zhongzhi, You, Haoran, Li, Sixu, Dong, Xin, Kautz, Jan, Molchanov, Pavlo, Yingyan, Lin
Format:	Preprint
Published:	2025
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

LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement
by: Ye, Zhifan, et al.
Published: (2025)

AmoebaLLM: Constructing Any-Shape Large Language Models for Efficient and Instant Deployment
by: Fu, Yonggan, et al.
Published: (2024)

Model Tells You Where to Merge: Adaptive KV Cache Merging for LLMs on Long-Context Tasks
by: Wang, Zheng, et al.
Published: (2024)

Small Language Models are the Future of Agentic AI
by: Belcak, Peter, et al.
Published: (2025)

Auto-Agent-Distiller: Towards Efficient Deep Reinforcement Learning Agents via Neural Architecture Search
by: Fu, Yonggan, et al.
Published: (2020)

Gen-NeRF: Efficient and Generalizable Neural Radiance Fields via Algorithm-Hardware Co-Design
by: Fu, Yonggan, et al.
Published: (2023)

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

MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference
by: Wan, Zhongwei, et al.
Published: (2025)

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

Exploring Fine-Tuning for In-Context Retrieval and Efficient KV-Caching in Long-Context Language Models
by: Molfese, Francesco Maria, et al.
Published: (2026)

Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed
by: Fu, Yonggan, et al.
Published: (2025)

ShiftAddNAS: Hardware-Inspired Search for More Accurate and Efficient Neural Networks
by: You, Haoran, et al.
Published: (2022)

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

ZSMerge: Zero-Shot KV Cache Compression for Memory-Efficient Long-Context LLMs
by: Liu, Xin, et al.
Published: (2025)

GPT4AIGChip: Towards Next-Generation AI Accelerator Design Automation via Large Language Models
by: Fu, Yonggan, et al.
Published: (2023)

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

ForesightKV: Optimizing KV Cache Eviction for Reasoning Models by Learning Long-Term Contribution
by: Dong, Zican, et al.
Published: (2026)

KV Pareto: Systems-Level Optimization of KV Cache and Model Compression for Long Context Inference
by: Gokhale, Sai, et al.
Published: (2025)

AM-RADIO: Agglomerative Vision Foundation Model -- Reduce All Domains Into One
by: Ranzinger, Mike, et al.
Published: (2023)

A3C-S: Automated Agent Accelerator Co-Search towards Efficient Deep Reinforcement Learning
by: Fu, Yonggan, et al.
Published: (2021)

dKV-Cache: The Cache for Diffusion Language Models
by: Ma, Xinyin, et al.
Published: (2025)

Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration
by: Yu, Zhongzhi, et al.
Published: (2024)

CSKV: Training-Efficient Channel Shrinking for KV Cache in Long-Context Scenarios
by: Wang, Luning, 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)

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

KV-Fold: One-Step KV-Cache Recurrence for Long-Context Inference
by: Nadali, Alireza, et al.
Published: (2026)

TiDAR: Think in Diffusion, Talk in Autoregression
by: Liu, Jingyu, et al.
Published: (2025)

MadaKV: Adaptive Modality-Perception KV Cache Eviction for Efficient Multimodal Long-Context Inference
by: Li, Kunxi, et al.
Published: (2025)

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

Nemotron-CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training
by: Diao, Shizhe, et al.
Published: (2025)

GRKV: Global Regression for Training-Free KV Cache Compression in Long-Context LLMs
by: Peng, Junjie, et al.
Published: (2026)

DynamicKV: Task-Aware Adaptive KV Cache Compression for Long Context LLMs
by: Zhou, Xiabin, et al.
Published: (2024)

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

ParisKV: Fast and Drift-Robust KV-Cache Retrieval for Long-Context LLMs
by: Qi, Yanlin, et al.
Published: (2026)

MomentKV: Closing the Directional Gap in KV Cache Eviction for Long-Context Inference
by: Li, Yu, et al.
Published: (2026)

ReasonCache: Accelerating Large Reasoning Model Serving through KV Cache Sharing
by: Chen, Kaiwen, et al.
Published: (2025)

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

Early-Bird GCNs: Graph-Network Co-Optimization Towards More Efficient GCN Training and Inference via Drawing Early-Bird Lottery Tickets
by: You, Haoran, et al.
Published: (2021)

LouisKV: Efficient KV Cache Retrieval for Long Input-Output Sequences
by: Wu, Wenbo, et al.
Published: (2025)

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