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Non-Intrusive Adaptation: Input-Centric Parameter-efficient Fine-Tuning
  for Versatile Multimodal Modeling

Non-Intrusive Adaptation: Input-Centric Parameter-efficient Fine-Tuning for Versatile Multimodal Modeling

18 October 2023
Yaqing Wang
Jialin Wu
T. Dabral
Jiageng Zhang
Geoff Brown
Chun-Ta Lu
Frederick Liu
Yi Liang
Bo Pang
Michael Bendersky
Radu Soricut
    VLM
ArXivPDFHTML

Papers citing "Non-Intrusive Adaptation: Input-Centric Parameter-efficient Fine-Tuning for Versatile Multimodal Modeling"

17 / 17 papers shown
Title
PaCA: Partial Connection Adaptation for Efficient Fine-Tuning
Sunghyeon Woo
Sol Namkung
Sunwoo Lee
Inho Jeong
Beomseok Kim
Dongsuk Jeon
33
0
0
28 Feb 2025
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning
LoCA: Location-Aware Cosine Adaptation for Parameter-Efficient Fine-Tuning
Zhekai Du
Yinjie Min
Jingjing Li
Ke Lu
Changliang Zou
Liuhua Peng
Tingjin Chu
M. Gong
134
1
0
05 Feb 2025
ALLoRA: Adaptive Learning Rate Mitigates LoRA Fatal Flaws
ALLoRA: Adaptive Learning Rate Mitigates LoRA Fatal Flaws
Hai Huang
Randall Balestriero
30
0
0
13 Oct 2024
Multi-Modal Parameter-Efficient Fine-tuning via Graph Neural Network
Multi-Modal Parameter-Efficient Fine-tuning via Graph Neural Network
Bin Cheng
Jiaxuan Lu
22
0
0
01 Aug 2024
See Further for Parameter Efficient Fine-tuning by Standing on the
  Shoulders of Decomposition
See Further for Parameter Efficient Fine-tuning by Standing on the Shoulders of Decomposition
Chongjie Si
Xiaokang Yang
Wei Shen
38
5
0
07 Jul 2024
SBoRA: Low-Rank Adaptation with Regional Weight Updates
SBoRA: Low-Rank Adaptation with Regional Weight Updates
L. Po
Yuyang Liu
Haoxuan Wu
Tianqi Zhang
W. Yu
Zeyu Jiang
Kun Li
33
0
0
07 Jul 2024
Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning
Maintaining Structural Integrity in Parameter Spaces for Parameter Efficient Fine-tuning
Chongjie Si
Xuehui Wang
Xue Yang
Zhengqin Xu
Qingyun Li
Jifeng Dai
Yu Qiao
Xiaokang Yang
Wei Shen
26
8
0
23 May 2024
Modeling Collaborator: Enabling Subjective Vision Classification With
  Minimal Human Effort via LLM Tool-Use
Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort via LLM Tool-Use
Imad Eddine Toubal
Aditya Avinash
N. Alldrin
Jan Dlabal
Wenlei Zhou
...
Chun-Ta Lu
Howard Zhou
Ranjay Krishna
Ariel Fuxman
Tom Duerig
VLM
75
7
0
05 Mar 2024
DoRA: Weight-Decomposed Low-Rank Adaptation
DoRA: Weight-Decomposed Low-Rank Adaptation
Shih-yang Liu
Chien-Yi Wang
Hongxu Yin
Pavlo Molchanov
Yu-Chiang Frank Wang
Kwang-Ting Cheng
Min-Hung Chen
22
337
0
14 Feb 2024
Visual Program Distillation: Distilling Tools and Programmatic Reasoning
  into Vision-Language Models
Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models
Yushi Hu
Otilia Stretcu
Chun-Ta Lu
Krishnamurthy Viswanathan
Kenji Hata
Enming Luo
Ranjay Krishna
Ariel Fuxman
VLM
LRM
MLLM
32
29
0
05 Dec 2023
Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of
  Low-rank Experts
Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts
Jialin Wu
Xia Hu
Yaqing Wang
Bo Pang
Radu Soricut
MoE
14
14
0
01 Dec 2023
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image
  Encoders and Large Language Models
BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models
Junnan Li
Dongxu Li
Silvio Savarese
Steven C. H. Hoi
VLM
MLLM
265
4,229
0
30 Jan 2023
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
303
11,909
0
04 Mar 2022
Multitask Prompted Training Enables Zero-Shot Task Generalization
Multitask Prompted Training Enables Zero-Shot Task Generalization
Victor Sanh
Albert Webson
Colin Raffel
Stephen H. Bach
Lintang Sutawika
...
T. Bers
Stella Biderman
Leo Gao
Thomas Wolf
Alexander M. Rush
LRM
211
1,656
0
15 Oct 2021
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
236
805
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
280
3,843
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
6,943
0
20 Apr 2018
1