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Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation

Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation

5 April 2024
Xinyu Ma
Xu Chu
Zhibang Yang
Yang Lin
Xin Gao
Junfeng Zhao
ArXivPDFHTML

Papers citing "Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation"

9 / 9 papers shown
Title
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language
  Models Alignment
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment
Lei Li
Zhihui Xie
Mukai Li
Shunian Chen
Peiyi Wang
L. Chen
Yazheng Yang
Benyou Wang
Lingpeng Kong
Q. Liu
VLM
ALM
34
16
0
12 Oct 2024
Orthogonal Finetuning for Direct Preference Optimization
Orthogonal Finetuning for Direct Preference Optimization
Chenxu Yang
Ruipeng Jia
Naibin Gu
Zheng-Shen Lin
Siyuan Chen
Chao Pang
Weichong Yin
Yu Sun
Hua-Hong Wu
Weiping Wang
17
0
0
23 Sep 2024
DeCo: Decoupling Token Compression from Semantic Abstraction in
  Multimodal Large Language Models
DeCo: Decoupling Token Compression from Semantic Abstraction in Multimodal Large Language Models
Linli Yao
Lei Li
Shuhuai Ren
Lean Wang
Yuanxin Liu
Xu Sun
Lu Hou
22
28
0
31 May 2024
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
26
18
0
15 Apr 2024
Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of
  Large Vision-Language Models
Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models
Lei Li
Yuqi Wang
Runxin Xu
Peiyi Wang
Xiachong Feng
Lingpeng Kong
Qi Liu
24
50
0
01 Mar 2024
Training language models to follow instructions with human feedback
Training language models to follow instructions with human feedback
Long Ouyang
Jeff Wu
Xu Jiang
Diogo Almeida
Carroll L. Wainwright
...
Amanda Askell
Peter Welinder
Paul Christiano
Jan Leike
Ryan J. Lowe
OSLM
ALM
301
11,730
0
04 Mar 2022
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally
  Across Scales and Tasks
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Xiao Liu
Kaixuan Ji
Yicheng Fu
Weng Lam Tam
Zhengxiao Du
Zhilin Yang
Jie Tang
VLM
234
780
0
14 Oct 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
275
3,784
0
18 Apr 2021
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language
  Understanding
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Alex Jinpeng Wang
Amanpreet Singh
Julian Michael
Felix Hill
Omer Levy
Samuel R. Bowman
ELM
294
6,927
0
20 Apr 2018
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