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LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding

LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding

25 April 2024
Mostafa Elhoushi
Akshat Shrivastava
Diana Liskovich
Basil Hosmer
Bram Wasti
Liangzhen Lai
Anas Mahmoud
Bilge Acun
Saurabh Agarwal
Ahmed Roman
Ahmed Aly
Beidi Chen
Carole-Jean Wu
    LRM
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Papers citing "LayerSkip: Enabling Early Exit Inference and Self-Speculative Decoding"

25 / 25 papers shown
Title
PipeSpec: Breaking Stage Dependencies in Hierarchical LLM Decoding
PipeSpec: Breaking Stage Dependencies in Hierarchical LLM Decoding
Bradley McDanel
S. Zhang
Y. Hu
Zining Liu
MoE
41
0
0
02 May 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
Adaptive Layer-skipping in Pre-trained LLMs
Adaptive Layer-skipping in Pre-trained LLMs
Xuan Luo
Weizhi Wang
Xifeng Yan
72
0
0
31 Mar 2025
Balcony: A Lightweight Approach to Dynamic Inference of Generative Language Models
Benyamin Jamialahmadi
Parsa Kavehzadeh
Mehdi Rezagholizadeh
Parsa Farinneya
Hossein Rajabzadeh
A. Jafari
Boxing Chen
Marzieh S. Tahaei
42
0
0
06 Mar 2025
EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test
EAGLE-3: Scaling up Inference Acceleration of Large Language Models via Training-Time Test
Yuhui Li
Fangyun Wei
Chao Zhang
Hongyang R. Zhang
112
5
0
03 Mar 2025
The Representation and Recall of Interwoven Structured Knowledge in LLMs: A Geometric and Layered Analysis
The Representation and Recall of Interwoven Structured Knowledge in LLMs: A Geometric and Layered Analysis
Ge Lei
Samuel J. Cooper
KELM
47
0
0
15 Feb 2025
Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding
Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding
Z. Wang
Muneeza Azmart
Ang Li
R. Horesh
Mikhail Yurochkin
107
1
0
11 Feb 2025
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA
Sangmin Bae
Adam Fisch
Hrayr Harutyunyan
Ziwei Ji
Seungyeon Kim
Tal Schuster
KELM
68
5
0
28 Oct 2024
Faster Language Models with Better Multi-Token Prediction Using Tensor Decomposition
Faster Language Models with Better Multi-Token Prediction Using Tensor Decomposition
Artem Basharin
Andrei Chertkov
Ivan V. Oseledets
36
1
0
23 Oct 2024
Router-Tuning: A Simple and Effective Approach for Enabling Dynamic-Depth in Transformers
Router-Tuning: A Simple and Effective Approach for Enabling Dynamic-Depth in Transformers
Shwai He
Tao Ge
Guoheng Sun
Bowei Tian
Xiaoyang Wang
Ang Li
MoE
46
1
0
17 Oct 2024
QSpec: Speculative Decoding with Complementary Quantization Schemes
QSpec: Speculative Decoding with Complementary Quantization Schemes
Juntao Zhao
Wenhao Lu
Sheng Wang
Lingpeng Kong
Chuan Wu
MQ
62
5
0
15 Oct 2024
SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration
SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration
Heming Xia
Yongqi Li
Jun Zhang
Cunxiao Du
Wenjie Li
LRM
44
4
0
09 Oct 2024
Large Language Model Inference Acceleration: A Comprehensive Hardware Perspective
Large Language Model Inference Acceleration: A Comprehensive Hardware Perspective
Jinhao Li
Jiaming Xu
Shan Huang
Yonghua Chen
Wen Li
...
Jiayi Pan
Li Ding
Hao Zhou
Yu Wang
Guohao Dai
57
15
0
06 Oct 2024
Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models
Layer Swapping for Zero-Shot Cross-Lingual Transfer in Large Language Models
Lucas Bandarkar
Benjamin Muller
Pritish Yuvraj
Rui Hou
Nayan Singhal
Hongjiang Lv
Bing-Quan Liu
KELM
LRM
MoMe
30
2
0
02 Oct 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
50
2
0
30 Sep 2024
Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models
Self-Introspective Decoding: Alleviating Hallucinations for Large Vision-Language Models
Fushuo Huo
Wenchao Xu
Zhong Zhang
Haozhao Wang
Zhicheng Chen
Peilin Zhao
VLM
MLLM
61
18
0
04 Aug 2024
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware
  Experts
MoMa: Efficient Early-Fusion Pre-training with Mixture of Modality-Aware Experts
Xi Victoria Lin
Akshat Shrivastava
Liang Luo
Srinivasan Iyer
Mike Lewis
Gargi Gosh
Luke Zettlemoyer
Armen Aghajanyan
MoE
33
20
0
31 Jul 2024
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference
LazyLLM: Dynamic Token Pruning for Efficient Long Context LLM Inference
Qichen Fu
Minsik Cho
Thomas Merth
Sachin Mehta
Mohammad Rastegari
Mahyar Najibi
33
25
0
19 Jul 2024
S3D: A Simple and Cost-Effective Self-Speculative Decoding Scheme for
  Low-Memory GPUs
S3D: A Simple and Cost-Effective Self-Speculative Decoding Scheme for Low-Memory GPUs
Wei Zhong
Manasa Bharadwaj
31
5
0
30 May 2024
Knowledge Circuits in Pretrained Transformers
Knowledge Circuits in Pretrained Transformers
Yunzhi Yao
Ningyu Zhang
Zekun Xi
Meng Wang
Ziwen Xu
Shumin Deng
Huajun Chen
KELM
64
19
0
28 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
41
79
0
26 Mar 2024
A Performance Evaluation of a Quantized Large Language Model on Various
  Smartphones
A Performance Evaluation of a Quantized Large Language Model on Various Smartphones
Tolga Çöplü
Marc Loedi
Arto Bendiken
Mykhailo Makohin
Joshua J. Bouw
Stephen Cobb
MQ
16
5
0
19 Dec 2023
Layer-wise Pruning of Transformer Attention Heads for Efficient Language
  Modeling
Layer-wise Pruning of Transformer Attention Heads for Efficient Language Modeling
Kyuhong Shim
Iksoo Choi
Wonyong Sung
Jungwook Choi
21
8
0
07 Oct 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
245
1,977
0
31 Dec 2020
The Bottom-up Evolution of Representations in the Transformer: A Study
  with Machine Translation and Language Modeling Objectives
The Bottom-up Evolution of Representations in the Transformer: A Study with Machine Translation and Language Modeling Objectives
Elena Voita
Rico Sennrich
Ivan Titov
188
181
0
03 Sep 2019
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