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2406.05130
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An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language Models
7 June 2024
Xiongtao Zhou
Jie He
Yuhua Ke
Guangyao Zhu
Víctor Gutiérrez-Basulto
Jeff Z. Pan
Re-assign community
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Papers citing
"An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language Models"
6 / 6 papers shown
Title
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
L. Wang
Sheng Chen
Linnan Jiang
Shu Pan
Runze Cai
Sen Yang
Fei Yang
44
3
0
24 Oct 2024
Demystifying Issues, Causes and Solutions in LLM Open-Source Projects
Yangxiao Cai
Peng Liang
Yifei Wang
Zengyang Li
Mojtaba Shahin
40
2
0
25 Sep 2024
AlignBot: Aligning VLM-powered Customized Task Planning with User Reminders Through Fine-Tuning for Household Robots
Zhaxizhuoma
Pengan Chen
Ziniu Wu
Jiawei Sun
Dong Wang
Peng Zhou
Nieqing Cao
Yan Ding
Bin Zhao
Xuelong Li
41
4
0
18 Sep 2024
Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering
Pan Lu
Swaroop Mishra
Tony Xia
Liang Qiu
Kai-Wei Chang
Song-Chun Zhu
Oyvind Tafjord
Peter Clark
A. Kalyan
ELM
ReLM
LRM
207
1,101
0
20 Sep 2022
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
280
3,835
0
18 Apr 2021
Scaling Laws for Neural Language Models
Jared Kaplan
Sam McCandlish
T. Henighan
Tom B. Brown
B. Chess
R. Child
Scott Gray
Alec Radford
Jeff Wu
Dario Amodei
226
4,424
0
23 Jan 2020
1