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Residual Prompt Tuning: Improving Prompt Tuning with Residual
  Reparameterization

Residual Prompt Tuning: Improving Prompt Tuning with Residual Reparameterization

6 May 2023
Anastasia Razdaibiedina
Yuning Mao
Rui Hou
Madian Khabsa
M. Lewis
Jimmy Ba
Amjad Almahairi
    VLM
ArXivPDFHTML

Papers citing "Residual Prompt Tuning: Improving Prompt Tuning with Residual Reparameterization"

36 / 36 papers shown
Title
PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning
PT-MoE: An Efficient Finetuning Framework for Integrating Mixture-of-Experts into Prompt Tuning
Zongqian Li
Yixuan Su
Nigel Collier
MoE
21
0
0
14 May 2025
Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients
Memory-Efficient LLM Training by Various-Grained Low-Rank Projection of Gradients
Yezhen Wang
Zhouhao Yang
Brian K Chen
Fanyi Pu
Bo-wen Li
Tianyu Gao
Kenji Kawaguchi
41
0
0
03 May 2025
Generalized Tensor-based Parameter-Efficient Fine-Tuning via Lie Group Transformations
Generalized Tensor-based Parameter-Efficient Fine-Tuning via Lie Group Transformations
Chongjie Si
Zhiyi Shi
Xuehui Wang
Yichen Xiao
Xiaokang Yang
Wei-Ming Shen
AI4CE
65
0
0
01 Apr 2025
Advancing Prompt-Based Methods for Replay-Independent General Continual Learning
Zhiqi Kang
Liyuan Wang
Xingxing Zhang
Karteek Alahari
CLL
VLM
40
1
0
02 Mar 2025
PaCA: Partial Connection Adaptation for Efficient Fine-Tuning
Sunghyeon Woo
Sol Namkung
Sunwoo Lee
Inho Jeong
Beomseok Kim
Dongsuk Jeon
39
0
0
28 Feb 2025
Fine Tuning without Catastrophic Forgetting via Selective Low Rank Adaptation
Reza Akbarian Bafghi
Carden Bagwell
Avinash Ravichandran
Ashish Shrivastava
M. Raissi
48
0
0
28 Jan 2025
MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba
MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba
Masakazu Yoshimura
Teruaki Hayashi
Yota Maeda
Mamba
100
2
0
06 Nov 2024
DEAN: Deactivating the Coupled Neurons to Mitigate Fairness-Privacy
  Conflicts in Large Language Models
DEAN: Deactivating the Coupled Neurons to Mitigate Fairness-Privacy Conflicts in Large Language Models
Chen Qian
Dongrui Liu
Jie Zhang
Yong Liu
Jing Shao
37
1
0
22 Oct 2024
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank
  Adaptation
BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation
Peijia Qin
Ruiyi Zhang
Pengtao Xie
31
1
0
13 Oct 2024
ALLoRA: Adaptive Learning Rate Mitigates LoRA Fatal Flaws
ALLoRA: Adaptive Learning Rate Mitigates LoRA Fatal Flaws
Hai Huang
Randall Balestriero
35
0
0
13 Oct 2024
Parameter-Efficient Fine-Tuning of Large Language Models using Semantic
  Knowledge Tuning
Parameter-Efficient Fine-Tuning of Large Language Models using Semantic Knowledge Tuning
Nusrat Jahan Prottasha
Asif Mahmud
Md. Shohanur Islam Sobuj
Prakash Bhat
Md. Kowsher
Niloofar Yousefi
O. Garibay
32
4
0
11 Oct 2024
Propulsion: Steering LLM with Tiny Fine-Tuning
Propulsion: Steering LLM with Tiny Fine-Tuning
Md. Kowsher
Nusrat Jahan Prottasha
Prakash Bhat
48
4
0
17 Sep 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
42
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
38
1
0
07 Jul 2024
LoRA-GA: Low-Rank Adaptation with Gradient Approximation
LoRA-GA: Low-Rank Adaptation with Gradient Approximation
Shaowen Wang
Linxi Yu
Jian Li
ALM
AI4CE
26
29
0
06 Jul 2024
PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt
  during Large Language Model Fine-tuning
PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning
Jiaru Zou
Mengyu Zhou
Tao Li
Shi Han
Dongmei Zhang
51
6
0
02 Jul 2024
Fighting Randomness with Randomness: Mitigating Optimisation Instability
  of Fine-Tuning using Delayed Ensemble and Noisy Interpolation
Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation
Branislav Pecher
Ján Cegin
Róbert Belanec
Jakub Simko
Ivan Srba
M. Bieliková
44
1
0
18 Jun 2024
SuperPos-Prompt: Enhancing Soft Prompt Tuning of Language Models with
  Superposition of Multi Token Embeddings
SuperPos-Prompt: Enhancing Soft Prompt Tuning of Language Models with Superposition of Multi Token Embeddings
MohammadAli SadraeiJavaeri
Ehsaneddin Asgari
A. Mchardy
Hamid R. Rabiee
VLM
AAML
26
0
0
07 Jun 2024
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
Yibo Yang
Xiaojie Li
Zhongzhu Zhou
Shuaiwen Leon Song
Jianlong Wu
Liqiang Nie
Guohao Li
45
6
0
07 Jun 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
31
8
0
23 May 2024
Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion
Efficient Prompt Tuning by Multi-Space Projection and Prompt Fusion
Pengxiang Lan
Enneng Yang
Yuting Liu
Guibing Guo
Linying Jiang
Jianzhe Zhao
Xingwei Wang
VLM
AAML
38
1
0
19 May 2024
StablePT: Towards Stable Prompting for Few-shot Learning via Input
  Separation
StablePT: Towards Stable Prompting for Few-shot Learning via Input Separation
Xiaoming Liu
Chen Liu
Zhaohan Zhang
Chengzhengxu Li
Longtian Wang
Y. Lan
Chao Shen
VLM
49
4
0
30 Apr 2024
LayerNorm: A key component in parameter-efficient fine-tuning
LayerNorm: A key component in parameter-efficient fine-tuning
Taha ValizadehAslani
Hualou Liang
51
1
0
29 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
32
342
0
14 Feb 2024
Soft Prompt Tuning for Cross-Lingual Transfer: When Less is More
Soft Prompt Tuning for Cross-Lingual Transfer: When Less is More
Fred Philippy
Siwen Guo
Shohreh Haddadan
Cedric Lothritz
Jacques Klein
Tegawende F. Bissyande
AAML
VLM
22
1
0
06 Feb 2024
Extending Whisper with prompt tuning to target-speaker ASR
Extending Whisper with prompt tuning to target-speaker ASR
Hao Ma
Zhiyuan Peng
Mingjie Shao
Jing Li
Ju Liu
VLM
32
12
0
13 Dec 2023
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
Yaqing Wang
Jialin Wu
T. Dabral
Jiageng Zhang
Geoff Brown
...
Frederick Liu
Yi Liang
Bo Pang
Michael Bendersky
Radu Soricut
VLM
25
14
0
18 Oct 2023
Decomposed Prompt Tuning via Low-Rank Reparameterization
Decomposed Prompt Tuning via Low-Rank Reparameterization
Yao Xiao
Lu Xu
Jiaxi Li
Wei Lu
Xiaoli Li
VLM
22
6
0
16 Oct 2023
PRE: Vision-Language Prompt Learning with Reparameterization Encoder
PRE: Vision-Language Prompt Learning with Reparameterization Encoder
Anh Pham Thi Minh
An Duc Nguyen
Georgios Tzimiropoulos
VPVLM
VLM
25
3
0
14 Sep 2023
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural
  Language Understanding
InfoPrompt: Information-Theoretic Soft Prompt Tuning for Natural Language Understanding
Junda Wu
Tong Yu
Rui Wang
Zhao-quan Song
Ruiyi Zhang
Handong Zhao
Chaochao Lu
Shuai Li
Ricardo Henao
VLM
33
23
0
08 Jun 2023
Prompting Language-Informed Distribution for Compositional Zero-Shot
  Learning
Prompting Language-Informed Distribution for Compositional Zero-Shot Learning
Wentao Bao
Lichang Chen
Heng-Chiao Huang
Yu Kong
CoGe
VLM
29
12
0
23 May 2023
Representation Projection Invariance Mitigates Representation Collapse
Representation Projection Invariance Mitigates Representation Collapse
Anastasia Razdaibiedina
A. Khetan
Zohar Karnin
Daniel Khashabi
Vishaal Kapoor
V. Madan
34
5
0
23 May 2022
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
Tu Vu
Brian Lester
Noah Constant
Rami Al-Rfou
Daniel Cer
VLM
LRM
137
277
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
238
806
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
3,848
0
18 Apr 2021
Scaling Laws for Neural Language Models
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
261
4,489
0
23 Jan 2020
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