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Fast Inference from Transformers via Speculative Decoding

Fast Inference from Transformers via Speculative Decoding

30 November 2022
Yaniv Leviathan
Matan Kalman
Yossi Matias
    LRM
ArXivPDFHTML

Papers citing "Fast Inference from Transformers via Speculative Decoding"

49 / 99 papers shown
Title
Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding
Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding
Yao Teng
Han Shi
Xian Liu
Xuefei Ning
Guohao Dai
Yu Wang
Zhenguo Li
Xihui Liu
91
12
0
02 Oct 2024
The Early Bird Catches the Leak: Unveiling Timing Side Channels in LLM Serving Systems
The Early Bird Catches the Leak: Unveiling Timing Side Channels in LLM Serving Systems
Linke Song
Zixuan Pang
Wenhao Wang
Zihao Wang
XiaoFeng Wang
Hongbo Chen
Wei Song
Yier Jin
Dan Meng
Rui Hou
95
8
0
30 Sep 2024
Characterizing and Efficiently Accelerating Multimodal Generation Model Inference
Characterizing and Efficiently Accelerating Multimodal Generation Model Inference
Yejin Lee
Anna Y. Sun
Basil Hosmer
Bilge Acun
Can Balioglu
...
Ram Pasunuru
Scott Yih
Sravya Popuri
Xing Liu
Carole-Jean Wu
95
2
0
30 Sep 2024
Dynamic-Width Speculative Beam Decoding for Efficient LLM Inference
Dynamic-Width Speculative Beam Decoding for Efficient LLM Inference
Zongyue Qin
Zifan He
Neha Prakriya
Jason Cong
Yizhou Sun
69
5
0
25 Sep 2024
What is the Role of Small Models in the LLM Era: A Survey
What is the Role of Small Models in the LLM Era: A Survey
Lihu Chen
Gaël Varoquaux
ALM
169
29
0
10 Sep 2024
MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding
MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding
Jian Chen
Vashisth Tiwari
Ranajoy Sadhukhan
Zhuoming Chen
Jinyuan Shi
Ian En-Hsu Yen
Ian En-Hsu Yen
Avner May
Tianqi Chen
Beidi Chen
LRM
101
27
0
20 Aug 2024
Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling
Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling
Xianzhen Luo
Yixuan Wang
Qingfu Zhu
Zhiming Zhang
Xuanyu Zhang
Qing Yang
Dongliang Xu
56
8
0
16 Aug 2024
Coupling without Communication and Drafter-Invariant Speculative Decoding
Coupling without Communication and Drafter-Invariant Speculative Decoding
Majid Daliri
Christopher Musco
A. Suresh
61
2
0
15 Aug 2024
PEARL: Parallel Speculative Decoding with Adaptive Draft Length
PEARL: Parallel Speculative Decoding with Adaptive Draft Length
Tianyu Liu
Yun Li
Qitan Lv
Kai Liu
Jianchen Zhu
Winston Hu
Xingwu Sun
104
17
0
13 Aug 2024
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding
Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding
Yunjia Xi
Hangyu Wang
Bo Chen
Jianghao Lin
Menghui Zhu
Wen Liu
Ruiming Tang
Zhewei Wei
Weinan Zhang
Yong Yu
OffRL
127
4
0
11 Aug 2024
Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion
Speculative Diffusion Decoding: Accelerating Language Generation through Diffusion
Jacob K Christopher
Brian Bartoldson
Tal Ben-Nun
Michael Cardei
B. Kailkhura
Ferdinando Fioretto
DiffM
88
4
0
10 Aug 2024
ThinK: Thinner Key Cache by Query-Driven Pruning
ThinK: Thinner Key Cache by Query-Driven Pruning
Yuhui Xu
Zhanming Jie
Hanze Dong
Lei Wang
Xudong Lu
Aojun Zhou
Amrita Saha
Caiming Xiong
Doyen Sahoo
109
20
0
30 Jul 2024
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting
Zilong Wang
Zifeng Wang
Long Le
Huaixiu Steven Zheng
Swaroop Mishra
...
Anush Mattapalli
Ankur Taly
Jingbo Shang
Chen-Yu Lee
Tomas Pfister
RALM
110
43
0
11 Jul 2024
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
Guanqiao Qu
Qiyuan Chen
Wei Wei
Zheng Lin
Xianhao Chen
Kaibin Huang
102
53
0
09 Jul 2024
OPT-Tree: Speculative Decoding with Adaptive Draft Tree Structure
OPT-Tree: Speculative Decoding with Adaptive Draft Tree Structure
Jikai Wang
Yi Su
Juntao Li
Qingrong Xia
Zi Ye
Xinyu Duan
Zhefeng Wang
Min Zhang
96
17
0
25 Jun 2024
Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph
Benchmarking Uncertainty Quantification Methods for Large Language Models with LM-Polygraph
Roman Vashurin
Ekaterina Fadeeva
Artem Vazhentsev
Akim Tsvigun
Daniil Vasilev
...
Timothy Baldwin
Timothy Baldwin
Maxim Panov
Artem Shelmanov
Artem Shelmanov
HILM
95
28
0
21 Jun 2024
CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models
CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models
Yuetai Li
Zhangchen Xu
Fengqing Jiang
Luyao Niu
D. Sahabandu
Bhaskar Ramasubramanian
Radha Poovendran
SILM
AAML
91
8
0
18 Jun 2024
Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL
Next-Generation Database Interfaces: A Survey of LLM-based Text-to-SQL
Zijin Hong
Zheng Yuan
Qinggang Zhang
Hao Chen
Junnan Dong
Feiran Huang
Xiao Huang
135
72
0
12 Jun 2024
Nearest Neighbor Speculative Decoding for LLM Generation and Attribution
Nearest Neighbor Speculative Decoding for LLM Generation and Attribution
Minghan Li
Xilun Chen
Ari Holtzman
Beidi Chen
Jimmy Lin
Wen-tau Yih
Xi Lin
RALM
BDL
161
14
0
29 May 2024
The Unreasonable Ineffectiveness of the Deeper Layers
The Unreasonable Ineffectiveness of the Deeper Layers
Andrey Gromov
Kushal Tirumala
Hassan Shapourian
Paolo Glorioso
Daniel A. Roberts
113
99
0
26 Mar 2024
On the Challenges and Opportunities in Generative AI
On the Challenges and Opportunities in Generative AI
Laura Manduchi
Kushagra Pandey
Robert Bamler
Ryan Cotterell
Sina Daubener
...
F. Wenzel
Frank Wood
Stephan Mandt
Vincent Fortuin
Vincent Fortuin
214
21
0
28 Feb 2024
Decoding Speculative Decoding
Decoding Speculative Decoding
Minghao Yan
Saurabh Agarwal
Shivaram Venkataraman
LRM
73
10
0
02 Feb 2024
EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty
EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty
Yuhui Li
Fangyun Wei
Chao Zhang
Hongyang R. Zhang
103
155
0
26 Jan 2024
Hot PATE: Private Aggregation of Distributions for Diverse Task
Hot PATE: Private Aggregation of Distributions for Diverse Task
Edith Cohen
Benjamin Cohen-Wang
Xin Lyu
Jelani Nelson
Tamas Sarlos
Uri Stemmer
89
4
0
04 Dec 2023
GQKVA: Efficient Pre-training of Transformers by Grouping Queries, Keys, and Values
GQKVA: Efficient Pre-training of Transformers by Grouping Queries, Keys, and Values
Farnoosh Javadi
Walid Ahmed
Habib Hajimolahoseini
Foozhan Ataiefard
Mohammad Hassanpour
Saina Asani
Austin Wen
Omar Mohamed Awad
Kangling Liu
Yang Liu
VLM
78
8
0
06 Nov 2023
Accelerating Large Language Model Decoding with Speculative Sampling
Accelerating Large Language Model Decoding with Speculative Sampling
Charlie Chen
Sebastian Borgeaud
G. Irving
Jean-Baptiste Lespiau
Laurent Sifre
J. Jumper
BDL
LRM
82
421
0
02 Feb 2023
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Scaling Autoregressive Models for Content-Rich Text-to-Image Generation
Jiahui Yu
Yuanzhong Xu
Jing Yu Koh
Thang Luong
Gunjan Baid
...
Zarana Parekh
Xin Li
Han Zhang
Jason Baldridge
Yonghui Wu
EGVM
181
1,117
0
22 Jun 2022
Scaling Up Models and Data with $\texttt{t5x}$ and $\texttt{seqio}$
Scaling Up Models and Data with t5x\texttt{t5x}t5x and seqio\texttt{seqio}seqio
Adam Roberts
Hyung Won Chung
Anselm Levskaya
Gaurav Mishra
James Bradbury
...
Brennan Saeta
Ryan Sepassi
A. Spiridonov
Joshua Newlan
Andrea Gesmundo
ALM
95
196
0
31 Mar 2022
Sparse is Enough in Scaling Transformers
Sparse is Enough in Scaling Transformers
Sebastian Jaszczur
Aakanksha Chowdhery
Afroz Mohiuddin
Lukasz Kaiser
Wojciech Gajewski
Henryk Michalewski
Jonni Kanerva
MoE
56
102
0
24 Nov 2021
The Efficiency Misnomer
The Efficiency Misnomer
Daoyuan Chen
Liuyi Yao
Dawei Gao
Ashish Vaswani
Yaliang Li
91
103
0
25 Oct 2021
Primer: Searching for Efficient Transformers for Language Modeling
Primer: Searching for Efficient Transformers for Language Modeling
David R. So
Wojciech Mañke
Hanxiao Liu
Zihang Dai
Noam M. Shazeer
Quoc V. Le
VLM
251
156
0
17 Sep 2021
Instantaneous Grammatical Error Correction with Shallow Aggressive
  Decoding
Instantaneous Grammatical Error Correction with Shallow Aggressive Decoding
Xin Sun
Tao Ge
Furu Wei
Houfeng Wang
56
63
0
09 Jun 2021
Consistent Accelerated Inference via Confident Adaptive Transformers
Consistent Accelerated Inference via Confident Adaptive Transformers
Tal Schuster
Adam Fisch
Tommi Jaakkola
Regina Barzilay
AI4TS
225
72
0
18 Apr 2021
Dynamic Neural Networks: A Survey
Dynamic Neural Networks: A Survey
Yizeng Han
Gao Huang
Shiji Song
Le Yang
Honghui Wang
Yulin Wang
3DH
AI4TS
AI4CE
109
649
0
09 Feb 2021
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
743
41,932
0
28 May 2020
Why should we add early exits to neural networks?
Why should we add early exits to neural networks?
Simone Scardapane
M. Scarpiniti
E. Baccarelli
A. Uncini
62
123
0
27 Apr 2020
The Right Tool for the Job: Matching Model and Instance Complexities
The Right Tool for the Job: Matching Model and Instance Complexities
Roy Schwartz
Gabriel Stanovsky
Swabha Swayamdipta
Jesse Dodge
Noah A. Smith
95
169
0
16 Apr 2020
Controlling Computation versus Quality for Neural Sequence Models
Controlling Computation versus Quality for Neural Sequence Models
Ankur Bapna
N. Arivazhagan
Orhan Firat
65
30
0
17 Feb 2020
Fast Transformer Decoding: One Write-Head is All You Need
Fast Transformer Decoding: One Write-Head is All You Need
Noam M. Shazeer
151
461
0
06 Nov 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
419
20,127
0
23 Oct 2019
Depth-Adaptive Transformer
Depth-Adaptive Transformer
Maha Elbayad
Jiatao Gu
Edouard Grave
Michael Auli
86
192
0
22 Oct 2019
Adaptive Attention Span in Transformers
Adaptive Attention Span in Transformers
Sainbayar Sukhbaatar
Edouard Grave
Piotr Bojanowski
Armand Joulin
76
285
0
19 May 2019
Blockwise Parallel Decoding for Deep Autoregressive Models
Blockwise Parallel Decoding for Deep Autoregressive Models
Mitchell Stern
Noam M. Shazeer
Ashley J. Llorens
51
233
0
07 Nov 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.7K
94,770
0
11 Oct 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
690
131,526
0
12 Jun 2017
Quantized Neural Networks: Training Neural Networks with Low Precision
  Weights and Activations
Quantized Neural Networks: Training Neural Networks with Low Precision Weights and Activations
Itay Hubara
Matthieu Courbariaux
Daniel Soudry
Ran El-Yaniv
Yoshua Bengio
MQ
149
1,864
0
22 Sep 2016
Gaussian Error Linear Units (GELUs)
Gaussian Error Linear Units (GELUs)
Dan Hendrycks
Kevin Gimpel
169
5,000
0
27 Jun 2016
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
347
19,643
0
09 Mar 2015
One Billion Word Benchmark for Measuring Progress in Statistical
  Language Modeling
One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling
Ciprian Chelba
Tomas Mikolov
M. Schuster
Qi Ge
T. Brants
P. Koehn
T. Robinson
175
1,103
0
11 Dec 2013
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