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Flexora: Flexible Low Rank Adaptation for Large Language Models
v1v2 (latest)

Flexora: Flexible Low Rank Adaptation for Large Language Models

20 August 2024
Chenxing Wei
Yao Shu
Ying Tiffany He
Fei Richard Yu
    AI4CE
ArXiv (abs)PDFHTML

Papers citing "Flexora: Flexible Low Rank Adaptation for Large Language Models"

14 / 14 papers shown
Title
LoRA Dropout as a Sparsity Regularizer for Overfitting Control
LoRA Dropout as a Sparsity Regularizer for Overfitting Control
Yang Lin
Xinyu Ma
Xu Chu
Yujie Jin
Zhibang Yang
Yasha Wang
Hong-yan Mei
90
26
0
15 Apr 2024
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language
  Model Fine-Tuning
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning
Boyao Wang
Xiang Liu
Shizhe Diao
Renjie Pi
Jipeng Zhang
Chi Han
Tong Zhang
95
53
0
26 Mar 2024
LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluation
LoRA-drop: Efficient LoRA Parameter Pruning based on Output Evaluation
Hongyun Zhou
Xiangyu Lu
Wang Xu
Conghui Zhu
Tiejun Zhao
Muyun Yang
63
18
0
12 Feb 2024
The Truth is in There: Improving Reasoning in Language Models with
  Layer-Selective Rank Reduction
The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
Pratyusha Sharma
Jordan T. Ash
Dipendra Kumar Misra
LRM
74
90
0
21 Dec 2023
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language Models
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRLAI4TSAI4CEALMAIMat
504
10,526
0
17 Jun 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
605
4,099
0
18 Apr 2021
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Prefix-Tuning: Optimizing Continuous Prompts for Generation
Xiang Lisa Li
Percy Liang
252
4,305
0
01 Jan 2021
PIQA: Reasoning about Physical Commonsense in Natural Language
PIQA: Reasoning about Physical Commonsense in Natural Language
Yonatan Bisk
Rowan Zellers
Ronan Le Bras
Jianfeng Gao
Yejin Choi
OODLRM
192
1,847
0
26 Nov 2019
Truncated Back-propagation for Bilevel Optimization
Truncated Back-propagation for Bilevel Optimization
Amirreza Shaban
Ching-An Cheng
Nathan Hatch
Byron Boots
111
266
0
25 Oct 2018
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi
P. Frasconi
Saverio Salzo
Riccardo Grazzi
Massimiliano Pontil
179
732
0
13 Jun 2018
Learning to Reweight Examples for Robust Deep Learning
Learning to Reweight Examples for Robust Deep Learning
Mengye Ren
Wenyuan Zeng
Binh Yang
R. Urtasun
OODNoLa
154
1,431
0
24 Mar 2018
RACE: Large-scale ReAding Comprehension Dataset From Examinations
RACE: Large-scale ReAding Comprehension Dataset From Examinations
Guokun Lai
Qizhe Xie
Hanxiao Liu
Yiming Yang
Eduard H. Hovy
ELM
205
1,359
0
15 Apr 2017
Evaluation of a Tree-based Pipeline Optimization Tool for Automating
  Data Science
Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science
Randal S. Olson
Nathan Bartley
Ryan J. Urbanowicz
J. Moore
63
530
0
20 Mar 2016
Gradient-based Hyperparameter Optimization through Reversible Learning
Gradient-based Hyperparameter Optimization through Reversible Learning
D. Maclaurin
David Duvenaud
Ryan P. Adams
DD
236
946
0
11 Feb 2015
1