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Greedy Output Approximation: Towards Efficient Structured Pruning for
  LLMs Without Retraining

Greedy Output Approximation: Towards Efficient Structured Pruning for LLMs Without Retraining

26 July 2024
Jianwei Li
Yijun Dong
Qi Lei
ArXivPDFHTML

Papers citing "Greedy Output Approximation: Towards Efficient Structured Pruning for LLMs Without Retraining"

9 / 9 papers shown
Title
SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression
SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression
Xin Wang
Samiul Alam
Zhongwei Wan
H. Shen
M. Zhang
MQ
59
0
0
16 Mar 2025
SEAP: Training-free Sparse Expert Activation Pruning Unlock the Brainpower of Large Language Models
Xun Liang
Hanyu Wang
Huayi Lai
Simin Niu
Shichao Song
Jiawei Yang
Jihao Zhao
Feiyu Xiong
Bo Tang
Z. Li
VLM
45
0
0
10 Mar 2025
Superficial Safety Alignment Hypothesis
Superficial Safety Alignment Hypothesis
Jianwei Li
Jung-Eun Kim
24
1
0
07 Oct 2024
Subspace Node Pruning
Subspace Node Pruning
Joshua Offergeld
Marcel van Gerven
Nasir Ahmad
36
0
0
26 May 2024
Shortened LLaMA: Depth Pruning for Large Language Models with Comparison
  of Retraining Methods
Shortened LLaMA: Depth Pruning for Large Language Models with Comparison of Retraining Methods
Bo-Kyeong Kim
Geonmin Kim
Tae-Ho Kim
Thibault Castells
Shinkook Choi
Junho Shin
Hyoung-Kyu Song
54
30
0
05 Feb 2024
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
SliceGPT: Compress Large Language Models by Deleting Rows and Columns
Saleh Ashkboos
Maximilian L. Croci
Marcelo Gennari do Nascimento
Torsten Hoefler
James Hensman
VLM
125
145
0
26 Jan 2024
DepGraph: Towards Any Structural Pruning
DepGraph: Towards Any Structural Pruning
Gongfan Fang
Xinyin Ma
Mingli Song
Michael Bi Mi
Xinchao Wang
GNN
79
256
0
30 Jan 2023
Robustness Challenges in Model Distillation and Pruning for Natural
  Language Understanding
Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding
Mengnan Du
Subhabrata Mukherjee
Yu Cheng
Milad Shokouhi
Xia Hu
Ahmed Hassan Awadallah
44
13
0
16 Oct 2021
Sparsity in Deep Learning: Pruning and growth for efficient inference
  and training in neural networks
Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks
Torsten Hoefler
Dan Alistarh
Tal Ben-Nun
Nikoli Dryden
Alexandra Peste
MQ
139
684
0
31 Jan 2021
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