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H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large
  Language Models

H2_22​O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models

24 June 2023
Zhenyu (Allen) Zhang
Ying Sheng
Tianyi Zhou
Tianlong Chen
Lianmin Zheng
Ruisi Cai
Zhao-quan Song
Yuandong Tian
Christopher Ré
Clark W. Barrett
Zhangyang Wang
Beidi Chen
    VLM
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Papers citing "H$_2$O: Heavy-Hitter Oracle for Efficient Generative Inference of Large Language Models"

50 / 186 papers shown
Title
Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM
Sparse Attention Remapping with Clustering for Efficient LLM Decoding on PIM
Zehao Fan
Garrett Gagnon
Zhenyu Liu
Liu Liu
19
0
0
09 May 2025
R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference
R-Sparse: Rank-Aware Activation Sparsity for Efficient LLM Inference
Zhenyu (Allen) Zhang
Zechun Liu
Yuandong Tian
Harshit Khaitan
Z. Wang
Steven Li
54
0
0
28 Apr 2025
TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate
TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate
A. Zandieh
Majid Daliri
Majid Hadian
Vahab Mirrokni
MQ
74
0
0
28 Apr 2025
An Empirical Study on Prompt Compression for Large Language Models
An Empirical Study on Prompt Compression for Large Language Models
Z. Zhang
Jinyi Li
Yihuai Lan
X. Wang
Hao Wang
MQ
42
0
0
24 Apr 2025
Random Long-Context Access for Mamba via Hardware-aligned Hierarchical Sparse Attention
Random Long-Context Access for Mamba via Hardware-aligned Hierarchical Sparse Attention
Xiang Hu
Jiaqi Leng
Jun Zhao
Kewei Tu
Wei Wu
Mamba
45
0
0
23 Apr 2025
PARD: Accelerating LLM Inference with Low-Cost PARallel Draft Model Adaptation
PARD: Accelerating LLM Inference with Low-Cost PARallel Draft Model Adaptation
Zihao An
Huajun Bai
Z. Liu
Dong Li
E. Barsoum
54
0
0
23 Apr 2025
From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs
From Human Memory to AI Memory: A Survey on Memory Mechanisms in the Era of LLMs
Yaxiong Wu
Sheng Liang
Chen Zhang
Y. Wang
Y. Zhang
Huifeng Guo
Ruiming Tang
Y. Liu
KELM
36
0
0
22 Apr 2025
KeyDiff: Key Similarity-Based KV Cache Eviction for Long-Context LLM Inference in Resource-Constrained Environments
KeyDiff: Key Similarity-Based KV Cache Eviction for Long-Context LLM Inference in Resource-Constrained Environments
Junyoung Park
Dalton Jones
Matt Morse
Raghavv Goel
Mingu Lee
Chris Lott
22
0
0
21 Apr 2025
Efficient Pretraining Length Scaling
Efficient Pretraining Length Scaling
Bohong Wu
Shen Yan
Sijun Zhang
Jianqiao Lu
Yutao Zeng
Ya Wang
Xun Zhou
39
0
0
21 Apr 2025
KeepKV: Eliminating Output Perturbation in KV Cache Compression for Efficient LLMs Inference
KeepKV: Eliminating Output Perturbation in KV Cache Compression for Efficient LLMs Inference
Yuxuan Tian
Zihan Wang
Yebo Peng
Aomufei Yuan
Z. Wang
Bairen Yi
Xin Liu
Yong Cui
Tong Yang
29
0
0
14 Apr 2025
HELIOS: Adaptive Model And Early-Exit Selection for Efficient LLM Inference Serving
HELIOS: Adaptive Model And Early-Exit Selection for Efficient LLM Inference Serving
Avinash Kumar
Shashank Nag
Jason Clemons
L. John
Poulami Das
24
0
0
14 Apr 2025
Adaptive Computation Pruning for the Forgetting Transformer
Adaptive Computation Pruning for the Forgetting Transformer
Zhixuan Lin
J. Obando-Ceron
Xu Owen He
Aaron C. Courville
30
0
0
09 Apr 2025
Hogwild! Inference: Parallel LLM Generation via Concurrent Attention
Hogwild! Inference: Parallel LLM Generation via Concurrent Attention
Gleb Rodionov
Roman Garipov
Alina Shutova
George Yakushev
Vage Egiazarian
Anton Sinitsin
Denis Kuznedelev
Dan Alistarh
LRM
27
1
0
08 Apr 2025
LagKV: Lag-Relative Information of the KV Cache Tells Which Tokens Are Important
LagKV: Lag-Relative Information of the KV Cache Tells Which Tokens Are Important
Manlai Liang
JiaMing Zhang
Xiong Li
Jinlong Li
MQ
33
0
0
07 Apr 2025
Saliency-driven Dynamic Token Pruning for Large Language Models
Saliency-driven Dynamic Token Pruning for Large Language Models
Yao Tao
Yehui Tang
Yun Wang
Mingjian Zhu
Hailin Hu
Yunhe Wang
32
0
0
06 Apr 2025
Cognitive Memory in Large Language Models
Cognitive Memory in Large Language Models
Lianlei Shan
Shixian Luo
Zezhou Zhu
Yu Yuan
Yong Wu
LLMAG
KELM
63
1
0
03 Apr 2025
SentenceKV: Efficient LLM Inference via Sentence-Level Semantic KV Caching
SentenceKV: Efficient LLM Inference via Sentence-Level Semantic KV Caching
Yuxuan Zhu
Ali Falahati
David H. Yang
Mohammad Mohammadi Amiri
54
0
0
01 Apr 2025
Efficient LLaMA-3.2-Vision by Trimming Cross-attended Visual Features
Efficient LLaMA-3.2-Vision by Trimming Cross-attended Visual Features
Jewon Lee
Ki-Ung Song
Seungmin Yang
Donguk Lim
Jaeyeon Kim
Wooksu Shin
Bo-Kyeong Kim
Yong Jae Lee
Tae-Ho Kim
VLM
51
0
0
01 Apr 2025
AirCache: Activating Inter-modal Relevancy KV Cache Compression for Efficient Large Vision-Language Model Inference
AirCache: Activating Inter-modal Relevancy KV Cache Compression for Efficient Large Vision-Language Model Inference
Kai Huang
Hao Zou
Bochen Wang
Ye Xi
Zhen Xie
Hao Wang
VLM
42
0
0
31 Mar 2025
SQuat: Subspace-orthogonal KV Cache Quantization
SQuat: Subspace-orthogonal KV Cache Quantization
Hao Wang
Ligong Han
Kai Xu
Akash Srivastava
MQ
43
0
0
31 Mar 2025
FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning
FastVAR: Linear Visual Autoregressive Modeling via Cached Token Pruning
Hang Guo
Yawei Li
Taolin Zhang
J. Wang
Tao Dai
Shu-Tao Xia
Luca Benini
60
1
0
30 Mar 2025
Cocktail: Chunk-Adaptive Mixed-Precision Quantization for Long-Context LLM Inference
Cocktail: Chunk-Adaptive Mixed-Precision Quantization for Long-Context LLM Inference
Wei Tao
Bin Zhang
Xiaoyang Qu
Jiguang Wan
Jianzong Wang
31
1
0
30 Mar 2025
Skip-Vision: Efficient and Scalable Acceleration of Vision-Language Models via Adaptive Token Skipping
Skip-Vision: Efficient and Scalable Acceleration of Vision-Language Models via Adaptive Token Skipping
Weili Zeng
Ziyuan Huang
Kaixiang Ji
Yichao Yan
VLM
42
1
0
26 Mar 2025
LogQuant: Log-Distributed 2-Bit Quantization of KV Cache with Superior Accuracy Preservation
LogQuant: Log-Distributed 2-Bit Quantization of KV Cache with Superior Accuracy Preservation
Han Chen
Zicong Jiang
Zining Zhang
Bingsheng He
Pingyi Luo
M. Lu
Yuqiang Chen
MQ
42
0
0
25 Mar 2025
TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model
TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model
Cheng Yang
Yang Sui
Jinqi Xiao
Lingyi Huang
Yu Gong
...
Jinghua Yan
Y. Bai
P. Sadayappan
Xia Hu
Bo Yuan
VLM
53
0
0
24 Mar 2025
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models
Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models
Yang Sui
Yu-Neng Chuang
Guanchu Wang
Jiamu Zhang
Tianyi Zhang
...
Hongyi Liu
Andrew Wen
Shaochen
Zhong
Hanjie Chen
OffRL
ReLM
LRM
62
21
0
20 Mar 2025
SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs
SpeCache: Speculative Key-Value Caching for Efficient Generation of LLMs
Shibo Jie
Yehui Tang
Kai Han
Zhi-Hong Deng
Jing Han
87
0
0
20 Mar 2025
Plug-and-Play 1.x-Bit KV Cache Quantization for Video Large Language Models
Plug-and-Play 1.x-Bit KV Cache Quantization for Video Large Language Models
Keda Tao
Haoxuan You
Yang Sui
Can Qin
H. Wang
VLM
MQ
84
0
0
20 Mar 2025
Growing a Twig to Accelerate Large Vision-Language Models
Growing a Twig to Accelerate Large Vision-Language Models
Zhenwei Shao
Mingyang Wang
Zhou Yu
Wenwen Pan
Yan Yang
Tao Wei
H. Zhang
Ning Mao
Wei Chen
Jun Yu
VLM
59
1
0
18 Mar 2025
LazyMAR: Accelerating Masked Autoregressive Models via Feature Caching
LazyMAR: Accelerating Masked Autoregressive Models via Feature Caching
Feihong Yan
Qingyan Wei
Jiayi Tang
J. Li
Y. Wang
Xuming Hu
Huiqi Li
Linfeng Zhang
46
0
0
16 Mar 2025
CAKE: Cascading and Adaptive KV Cache Eviction with Layer Preferences
CAKE: Cascading and Adaptive KV Cache Eviction with Layer Preferences
Ziran Qin
Yuchen Cao
Mingbao Lin
Wen Hu
Shixuan Fan
Ke Cheng
Weiyao Lin
Jianguo Li
61
3
0
16 Mar 2025
X-EcoMLA: Upcycling Pre-Trained Attention into MLA for Efficient and Extreme KV Compression
X-EcoMLA: Upcycling Pre-Trained Attention into MLA for Efficient and Extreme KV Compression
Guihong Li
Mehdi Rezagholizadeh
Mingyu Yang
Vikram Appia
Emad Barsoum
VLM
48
0
0
14 Mar 2025
ZSMerge: Zero-Shot KV Cache Compression for Memory-Efficient Long-Context LLMs
ZSMerge: Zero-Shot KV Cache Compression for Memory-Efficient Long-Context LLMs
Xin Liu
Pei Liu
Guoming Tang
MoMe
44
0
0
13 Mar 2025
Training Plug-n-Play Knowledge Modules with Deep Context Distillation
Training Plug-n-Play Knowledge Modules with Deep Context Distillation
Lucas Page-Caccia
Alan Ansell
E. Ponti
Ivan Vulić
Alessandro Sordoni
SyDa
82
0
0
11 Mar 2025
Multi-Cue Adaptive Visual Token Pruning for Large Vision-Language Models
Bozhi Luan
Wengang Zhou
Hao Feng
Zhe Wang
Xiaosong Li
H. Li
VLM
61
0
0
11 Mar 2025
LLMs Know What to Drop: Self-Attention Guided KV Cache Eviction for Efficient Long-Context Inference
G. Wang
Shubhangi Upasani
Chen Henry Wu
Darshan Gandhi
Jonathan Li
Changran Hu
Bo Li
Urmish Thakker
75
0
0
11 Mar 2025
Dialogue Injection Attack: Jailbreaking LLMs through Context Manipulation
Wenlong Meng
Fan Zhang
Wendao Yao
Zhenyuan Guo
Y. Li
Chengkun Wei
Wenzhi Chen
AAML
36
1
0
11 Mar 2025
TokenButler: Token Importance is Predictable
Yash Akhauri
Ahmed F. AbouElhamayed
Yifei Gao
Chi-chih Chang
Nilesh Jain
Mohamed S. Abdelfattah
48
0
0
10 Mar 2025
Predicting Team Performance from Communications in Simulated Search-and-Rescue
Ali Jalal-Kamali
Nikolos Gurney
David Pynadath
AI4TS
102
8
0
05 Mar 2025
WeightedKV: Attention Scores Weighted Key-Value Cache Merging for Large Language Models
Jian Yuan
Ziwei He
Haoli Bai
Jingwen Leng
Bo Jiang
MoMe
34
0
0
03 Mar 2025
Dialogue Without Limits: Constant-Sized KV Caches for Extended Responses in LLMs
Ravi Ghadia
Avinash Kumar
Gaurav Jain
Prashant J. Nair
Poulami Das
36
1
0
02 Mar 2025
Progressive Sparse Attention: Algorithm and System Co-design for Efficient Attention in LLM Serving
Qihui Zhou
Peiqi Yin
Pengfei Zuo
James Cheng
CLL
35
1
0
01 Mar 2025
FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference
FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference
Xunhao Lai
Jianqiao Lu
Yao Luo
Yiyuan Ma
Xun Zhou
63
5
0
28 Feb 2025
Long-Context Inference with Retrieval-Augmented Speculative Decoding
Long-Context Inference with Retrieval-Augmented Speculative Decoding
Guanzheng Chen
Qilong Feng
Jinjie Ni
Xin Li
Michael Shieh
RALM
47
2
0
27 Feb 2025
KVCrush: Key value cache size-reduction using similarity in head-behaviour
Gopi Krishna Jha
Sameh Gobriel
Liubov Talamanova
Alexander Kozlov
Nilesh Jain
MQ
29
0
0
24 Feb 2025
SVDq: 1.25-bit and 410x Key Cache Compression for LLM Attention
SVDq: 1.25-bit and 410x Key Cache Compression for LLM Attention
Hong Yankun
Li Xing
Zhen Hui-Ling
Yu Xianzhi
Liu Wulong
Yuan Mingxuan
MQ
78
0
0
24 Feb 2025
The Lottery LLM Hypothesis, Rethinking What Abilities Should LLM Compression Preserve?
The Lottery LLM Hypothesis, Rethinking What Abilities Should LLM Compression Preserve?
Zhenheng Tang
Xiang Liu
Qian Wang
Peijie Dong
Bingsheng He
Xiaowen Chu
Bo Li
LRM
50
1
0
24 Feb 2025
Neural Attention Search
Neural Attention Search
Difan Deng
Marius Lindauer
85
0
0
21 Feb 2025
HeadInfer: Memory-Efficient LLM Inference by Head-wise Offloading
HeadInfer: Memory-Efficient LLM Inference by Head-wise Offloading
Cheng Luo
Zefan Cai
Hanshi Sun
Jinqi Xiao
Bo Yuan
Wen Xiao
Junjie Hu
Jiawei Zhao
Beidi Chen
Anima Anandkumar
56
1
0
18 Feb 2025
RTBAS: Defending LLM Agents Against Prompt Injection and Privacy Leakage
RTBAS: Defending LLM Agents Against Prompt Injection and Privacy Leakage
Peter Yong Zhong
Siyuan Chen
Ruiqi Wang
McKenna McCall
Ben L. Titzer
Heather Miller
Phillip B. Gibbons
LLMAG
85
3
0
17 Feb 2025
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