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Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for
  Pre-trained Language Models

Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models

14 March 2022
Ning Ding
Yujia Qin
Guang Yang
Fu Wei
Zonghan Yang
Yusheng Su
Shengding Hu
Yulin Chen
Chi-Min Chan
Weize Chen
Jing Yi
Weilin Zhao
Xiaozhi Wang
Zhiyuan Liu
Haitao Zheng
Jianfei Chen
Yang Liu
Jie Tang
Juan Li
Maosong Sun
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Papers citing "Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models"

50 / 155 papers shown
Title
Batched Low-Rank Adaptation of Foundation Models
Batched Low-Rank Adaptation of Foundation Models
Yeming Wen
Swarat Chaudhuri
OffRL
21
19
0
09 Dec 2023
MoSA: Mixture of Sparse Adapters for Visual Efficient Tuning
MoSA: Mixture of Sparse Adapters for Visual Efficient Tuning
Qizhe Zhang
Bocheng Zou
Ruichuan An
Jiaming Liu
Shanghang Zhang
MoE
20
2
0
05 Dec 2023
MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices
MobileDiffusion: Instant Text-to-Image Generation on Mobile Devices
Yang Zhao
Yanwu Xu
Zhisheng Xiao
Haolin Jia
Tingbo Hou
VLM
39
11
0
28 Nov 2023
A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA
A Rank Stabilization Scaling Factor for Fine-Tuning with LoRA
Damjan Kalajdzievski
ALM
22
77
0
28 Nov 2023
PrivateLoRA For Efficient Privacy Preserving LLM
PrivateLoRA For Efficient Privacy Preserving LLM
Yiming Wang
Yu Lin
Xiaodong Zeng
Guannan Zhang
45
11
0
23 Nov 2023
MultiLoRA: Democratizing LoRA for Better Multi-Task Learning
MultiLoRA: Democratizing LoRA for Better Multi-Task Learning
Yiming Wang
Yu Lin
Xiaodong Zeng
Guannan Zhang
MoMe
39
20
0
20 Nov 2023
When does In-context Learning Fall Short and Why? A Study on
  Specification-Heavy Tasks
When does In-context Learning Fall Short and Why? A Study on Specification-Heavy Tasks
Hao Peng
Xiaozhi Wang
Jianhui Chen
Weikai Li
Y. Qi
...
Zhili Wu
Kaisheng Zeng
Bin Xu
Lei Hou
Juanzi Li
31
28
0
15 Nov 2023
Making Harmful Behaviors Unlearnable for Large Language Models
Making Harmful Behaviors Unlearnable for Large Language Models
Xin Zhou
Yi Lu
Ruotian Ma
Tao Gui
Qi Zhang
Xuanjing Huang
MU
41
9
0
02 Nov 2023
Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models
Cross-Lingual Consistency of Factual Knowledge in Multilingual Language Models
Jirui Qi
Raquel Fernández
Arianna Bisazza
KELM
HILM
19
60
0
16 Oct 2023
QFT: Quantized Full-parameter Tuning of LLMs with Affordable Resources
QFT: Quantized Full-parameter Tuning of LLMs with Affordable Resources
Zhikai Li
Xiaoxuan Liu
Banghua Zhu
Zhen Dong
Qingyi Gu
Kurt Keutzer
MQ
32
7
0
11 Oct 2023
Profit: Benchmarking Personalization and Robustness Trade-off in
  Federated Prompt Tuning
Profit: Benchmarking Personalization and Robustness Trade-off in Federated Prompt Tuning
Liam Collins
Shanshan Wu
Sewoong Oh
K. Sim
FedML
34
9
0
06 Oct 2023
Fine-tune Language Models to Approximate Unbiased In-context Learning
Fine-tune Language Models to Approximate Unbiased In-context Learning
Timothy Chu
Zhao-quan Song
Chiwun Yang
27
15
0
05 Oct 2023
Selective Feature Adapter for Dense Vision Transformers
Selective Feature Adapter for Dense Vision Transformers
XueQing Deng
Qi Fan
Xiaojie Jin
Linjie Yang
Peng Wang
29
0
0
03 Oct 2023
ConPET: Continual Parameter-Efficient Tuning for Large Language Models
ConPET: Continual Parameter-Efficient Tuning for Large Language Models
Chenyan Song
Xu Han
Zheni Zeng
Kuai Li
Chen Chen
Zhiyuan Liu
Maosong Sun
Taojiannan Yang
CLL
KELM
21
10
0
26 Sep 2023
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning
Jing Zhu
Xiang Song
V. Ioannidis
Danai Koutra
Christos Faloutsos
59
13
0
25 Sep 2023
Memory Efficient Optimizers with 4-bit States
Memory Efficient Optimizers with 4-bit States
Bingrui Li
Jianfei Chen
Jun Zhu
MQ
25
33
0
04 Sep 2023
Bayesian Low-rank Adaptation for Large Language Models
Bayesian Low-rank Adaptation for Large Language Models
Adam X. Yang
Maxime Robeyns
Xi Wang
Laurence Aitchison
AI4CE
BDL
18
44
0
24 Aug 2023
Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation
  with Large Language Models
Exploring Parameter-Efficient Fine-Tuning Techniques for Code Generation with Large Language Models
Martin Weyssow
Xin Zhou
Kisub Kim
David Lo
H. Sahraoui
30
27
0
21 Aug 2023
EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language
  Models
EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models
Peng Wang
Ningyu Zhang
Bo Tian
Zekun Xi
Yunzhi Yao
...
Shuyang Cheng
Kangwei Liu
Yuansheng Ni
Guozhou Zheng
Huajun Chen
KELM
43
41
0
14 Aug 2023
PromptSum: Parameter-Efficient Controllable Abstractive Summarization
PromptSum: Parameter-Efficient Controllable Abstractive Summarization
Mathieu Ravaut
Hailin Chen
Ruochen Zhao
Chengwei Qin
Shafiq R. Joty
Nancy Chen
24
2
0
06 Aug 2023
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world
  APIs
ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs
Yujia Qin
Shi Liang
Yining Ye
Kunlun Zhu
Lan Yan
...
Jie Zhou
Mark B. Gerstein
Dahai Li
Zhiyuan Liu
Maosong Sun
CLL
ALM
LLMAG
ELM
LM&MA
58
617
0
31 Jul 2023
Pluggable Neural Machine Translation Models via Memory-augmented
  Adapters
Pluggable Neural Machine Translation Models via Memory-augmented Adapters
Yuzhuang Xu
Shuo Wang
Peng Li
Xuebo Liu
Xiaolong Wang
Weidong Liu
Yang Liu
32
1
0
12 Jul 2023
FedYolo: Augmenting Federated Learning with Pretrained Transformers
FedYolo: Augmenting Federated Learning with Pretrained Transformers
Xuechen Zhang
Mingchen Li
Xiangyu Chang
Jiasi Chen
A. Roy-Chowdhury
A. Suresh
Samet Oymak
FedML
28
7
0
10 Jul 2023
OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of
  Pre-trained Models
OpenDelta: A Plug-and-play Library for Parameter-efficient Adaptation of Pre-trained Models
Shengding Hu
Ning Ding
Weilin Zhao
Xingtai Lv
Zhen Zhang
Zhiyuan Liu
Maosong Sun
29
7
0
05 Jul 2023
Full Parameter Fine-tuning for Large Language Models with Limited
  Resources
Full Parameter Fine-tuning for Large Language Models with Limited Resources
Kai Lv
Yuqing Yang
Tengxiao Liu
Qi-jie Gao
Qipeng Guo
Xipeng Qiu
45
126
0
16 Jun 2023
Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to
  Pre-trained Language Models Memories
Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models Memories
Shizhe Diao
Tianyang Xu
Ruijia Xu
Jiawei Wang
Tong Zhang
MoE
AI4CE
13
36
0
08 Jun 2023
Git-Theta: A Git Extension for Collaborative Development of Machine
  Learning Models
Git-Theta: A Git Extension for Collaborative Development of Machine Learning Models
Nikhil Kandpal
Brian Lester
Mohammed Muqeeth
Anisha Mascarenhas
Monty Evans
Vishal Baskaran
Tenghao Huang
Haokun Liu
Colin Raffel
VLM
16
10
0
07 Jun 2023
An Empirical Analysis of Parameter-Efficient Methods for Debiasing
  Pre-Trained Language Models
An Empirical Analysis of Parameter-Efficient Methods for Debiasing Pre-Trained Language Models
Zhongbin Xie
Thomas Lukasiewicz
26
12
0
06 Jun 2023
Preserving Pre-trained Features Helps Calibrate Fine-tuned Language
  Models
Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models
Guande He
Jianfei Chen
Jun Zhu
39
20
0
30 May 2023
PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language
  Models
PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models
Zhuocheng Gong
Jiahao Liu
Qifan Wang
Yang Yang
Jingang Wang
Wei Yu Wu
Yunsen Xian
Dongyan Zhao
Rui Yan
MQ
33
5
0
30 May 2023
Domain Specialization as the Key to Make Large Language Models
  Disruptive: A Comprehensive Survey
Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey
Chen Ling
Xujiang Zhao
Jiaying Lu
Chengyuan Deng
Can Zheng
...
Chris White
Quanquan Gu
Jian Pei
Carl Yang
Liang Zhao
ALM
25
126
0
30 May 2023
Plug-and-Play Knowledge Injection for Pre-trained Language Models
Plug-and-Play Knowledge Injection for Pre-trained Language Models
Zhengyan Zhang
Zhiyuan Zeng
Yankai Lin
Huadong Wang
Deming Ye
...
Xu Han
Zhiyuan Liu
Peng Li
Maosong Sun
Jie Zhou
KELM
40
10
0
28 May 2023
Stochastic Bridges as Effective Regularizers for Parameter-Efficient
  Tuning
Stochastic Bridges as Effective Regularizers for Parameter-Efficient Tuning
Weize Chen
Xu Han
Yankai Lin
Zhiyuan Liu
Maosong Sun
Jie Zhou
13
1
0
28 May 2023
Plug-and-Play Document Modules for Pre-trained Models
Plug-and-Play Document Modules for Pre-trained Models
Chaojun Xiao
Zhengyan Zhang
Xu Han
Chi-Min Chan
Yankai Lin
Zhiyuan Liu
Xiangyang Li
Zhonghua Li
Zhao Cao
Maosong Sun
KELM
22
5
0
28 May 2023
Fine-Tuning Language Models with Just Forward Passes
Fine-Tuning Language Models with Just Forward Passes
Sadhika Malladi
Tianyu Gao
Eshaan Nichani
Alexandru Damian
Jason D. Lee
Danqi Chen
Sanjeev Arora
22
177
0
27 May 2023
TOAST: Transfer Learning via Attention Steering
TOAST: Transfer Learning via Attention Steering
Baifeng Shi
Siyu Gai
Trevor Darrell
Xin Wang
39
9
0
24 May 2023
VIP5: Towards Multimodal Foundation Models for Recommendation
VIP5: Towards Multimodal Foundation Models for Recommendation
Shijie Geng
Juntao Tan
Shuchang Liu
Zuohui Fu
Yongfeng Zhang
26
69
0
23 May 2023
Efficient Large-Scale Visual Representation Learning And Evaluation
Efficient Large-Scale Visual Representation Learning And Evaluation
Eden Dolev
A. Awad
Denisa Roberts
Zahra Ebrahimzadeh
Marcin Mejran
Vaibhav Malpani
Mahir Yavuz
35
0
0
22 May 2023
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via
  Tool Embeddings
ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings
Shibo Hao
Tianyang Liu
Zhen Wang
Zhiting Hu
RALM
LLMAG
54
173
0
19 May 2023
G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning
  for Graph Transformer Networks
G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning for Graph Transformer Networks
Anchun Gui
Jinqiang Ye
Han Xiao
22
19
0
17 May 2023
When Gradient Descent Meets Derivative-Free Optimization: A Match Made
  in Black-Box Scenario
When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario
Chengcheng Han
Liqing Cui
Renyu Zhu
J. Wang
Nuo Chen
Qiushi Sun
Xiang Li
Ming Gao
28
7
0
17 May 2023
Recyclable Tuning for Continual Pre-training
Recyclable Tuning for Continual Pre-training
Yujia Qin
Cheng Qian
Xu Han
Yankai Lin
Huadong Wang
Ruobing Xie
Zhiyuan Liu
Maosong Sun
Jie Zhou
CLL
26
11
0
15 May 2023
Towards Building the Federated GPT: Federated Instruction Tuning
Towards Building the Federated GPT: Federated Instruction Tuning
Jianyi Zhang
Saeed Vahidian
Martin Kuo
Chunyuan Li
Ruiyi Zhang
Tong Yu
Yufan Zhou
Guoyin Wang
Yiran Chen
ALM
FedML
35
108
0
09 May 2023
HiFi: High-Information Attention Heads Hold for Parameter-Efficient
  Model Adaptation
HiFi: High-Information Attention Heads Hold for Parameter-Efficient Model Adaptation
Anchun Gui
Han Xiao
19
4
0
08 May 2023
Parameter-Efficient Cross-lingual Transfer of Vision and Language Models
  via Translation-based Alignment
Parameter-Efficient Cross-lingual Transfer of Vision and Language Models via Translation-based Alignment
Zhen Zhang
Jialu Wang
Qing Guo
VLM
31
2
0
02 May 2023
Consolidator: Mergeable Adapter with Grouped Connections for Visual
  Adaptation
Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation
Tianxiang Hao
Hui Chen
Yuchen Guo
Guiguang Ding
42
16
0
30 Apr 2023
LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model
LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model
Peng Gao
Jiaming Han
Renrui Zhang
Ziyi Lin
Shijie Geng
...
Pan Lu
Conghui He
Xiangyu Yue
Hongsheng Li
Yu Qiao
MLLM
33
550
0
28 Apr 2023
PVP: Pre-trained Visual Parameter-Efficient Tuning
PVP: Pre-trained Visual Parameter-Efficient Tuning
Zhao-quan Song
Ke Yang
Naiyang Guan
Junjie Zhu
Peng Qiao
Qingyong Hu
VPVLM
VLM
27
3
0
26 Apr 2023
AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in
  GNNs
AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs
Shengrui Li
Xueting Han
Jing Bai
AI4CE
10
10
0
19 Apr 2023
Adapter Learning in Pretrained Feature Extractor for Continual Learning
  of Diseases
Adapter Learning in Pretrained Feature Extractor for Continual Learning of Diseases
Wentao Zhang
Yujun Huang
Tong Zhang
Qingsong Zou
Weishi Zheng
Ruixuan Wang
CLL
MedIm
18
11
0
18 Apr 2023
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