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UniPELT: A Unified Framework for Parameter-Efficient Language Model
  Tuning
v1v2v3 (latest)

UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning

14 October 2021
Yuning Mao
Lambert Mathias
Rui Hou
Amjad Almahairi
Hao Ma
Jiawei Han
Wen-tau Yih
Madian Khabsa
ArXiv (abs)PDFHTML

Papers citing "UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning"

50 / 134 papers shown
Title
PrunePEFT: Iterative Hybrid Pruning for Parameter-Efficient Fine-tuning of LLMs
PrunePEFT: Iterative Hybrid Pruning for Parameter-Efficient Fine-tuning of LLMs
Tongzhou Yu
Zhuhao Zhang
Guanghui Zhu
Shen Jiang
Meikang Qiu
Yihua Huang
36
0
0
09 Jun 2025
MoA: Heterogeneous Mixture of Adapters for Parameter-Efficient Fine-Tuning of Large Language Models
MoA: Heterogeneous Mixture of Adapters for Parameter-Efficient Fine-Tuning of Large Language Models
Jie Cao
Tianwei Lin
Hongyang He
Rolan Yan
Wenqiao Zhang
Juncheng Billy Li
D. Zhang
Siliang Tang
Yueting Zhuang
MoE
48
0
0
06 Jun 2025
Continuous Subspace Optimization for Continual Learning
Continuous Subspace Optimization for Continual Learning
Quan Cheng
Yuanyu Wan
Lingyu Wu
Chenping Hou
Lijun Zhang
CLL
75
0
0
17 May 2025
Investigating Task Arithmetic for Zero-Shot Information Retrieval
Investigating Task Arithmetic for Zero-Shot Information Retrieval
Marco Braga
Pranav Kasela
Alessandro Raganato
G. Pasi
RALM
131
0
0
01 May 2025
Histogram-based Parameter-efficient Tuning for Passive Sonar Classification
Histogram-based Parameter-efficient Tuning for Passive Sonar Classification
Amirmohammad Mohammadi
Davelle Carreiro
A. V. Dine
Joshua Peeples
100
0
0
21 Apr 2025
FISH-Tuning: Enhancing PEFT Methods with Fisher Information
FISH-Tuning: Enhancing PEFT Methods with Fisher Information
Kang Xue
Ming Dong
Xinhui Tu
Tingting He
191
0
0
05 Apr 2025
Named Entity Recognition in Context
Named Entity Recognition in Context
Colin Brisson
Ayoub Kahfy
Marc Bui
Frédéric Constant
138
0
0
26 Mar 2025
CLLoRA: An Approach to Measure the Effects of the Context Length for LLM Fine-Tuning
CLLoRA: An Approach to Measure the Effects of the Context Length for LLM Fine-Tuning
Ping Zhang
Zhaorui Zhang
Sheng Di
Yao Xin
Benben Liu
99
2
0
26 Feb 2025
NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models
NEAT: Nonlinear Parameter-efficient Adaptation of Pre-trained Models
Yibo Zhong
Haoxiang Jiang
Lincan Li
Ryumei Nakada
Tianci Liu
Linjun Zhang
Huaxiu Yao
Haoyu Wang
253
3
0
24 Feb 2025
LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits
LowRA: Accurate and Efficient LoRA Fine-Tuning of LLMs under 2 Bits
Zikai Zhou
Qizheng Zhang
Hermann Kumbong
Kunle Olukotun
MQ
616
0
0
12 Feb 2025
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems
TabPFN Unleashed: A Scalable and Effective Solution to Tabular Classification Problems
Si-Yang Liu
Han-Jia Ye
179
12
0
04 Feb 2025
Memory-Efficient Fine-Tuning of Transformers via Token Selection
Memory-Efficient Fine-Tuning of Transformers via Token Selection
Antoine Simoulin
Namyong Park
Xiaoyi Liu
Grey Yang
195
1
0
31 Jan 2025
Safe Gradient Flow for Bilevel Optimization
Safe Gradient Flow for Bilevel Optimization
Sina Sharifi
Nazanin Abolfazli
Erfan Yazdandoost Hamedani
Mahyar Fazlyab
91
0
0
27 Jan 2025
Parameter-Efficient Fine-Tuning for Foundation Models
Parameter-Efficient Fine-Tuning for Foundation Models
Dan Zhang
Tao Feng
Lilong Xue
Yuandong Wang
Yuxiao Dong
J. Tang
234
12
0
23 Jan 2025
CM3T: Framework for Efficient Multimodal Learning for Inhomogeneous Interaction Datasets
CM3T: Framework for Efficient Multimodal Learning for Inhomogeneous Interaction Datasets
Tanay Agrawal
Mohammed Guermal
Michal Balazia
François Brémond
68
0
0
08 Jan 2025
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models
KaSA: Knowledge-Aware Singular-Value Adaptation of Large Language Models
Fan Wang
Juyong Jiang
Chansung Park
Sunghun Kim
Jing Tang
203
2
0
08 Dec 2024
A Practical Guide to Fine-tuning Language Models with Limited Data
A Practical Guide to Fine-tuning Language Models with Limited Data
Márton Szép
Daniel Rueckert
Rüdiger von Eisenhart-Rothe
Florian Hinterwimmer
SyDaALM
130
2
0
14 Nov 2024
MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba
MambaPEFT: Exploring Parameter-Efficient Fine-Tuning for Mamba
Masakazu Yoshimura
Teruaki Hayashi
Yota Maeda
Mamba
300
2
0
06 Nov 2024
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
Liwen Wang
Sheng Chen
Linnan Jiang
Shu Pan
Runze Cai
Sen Yang
Fei Yang
176
7
0
24 Oct 2024
LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices
LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices
Chuntao Ding
Xu Cao
Jianhang Xie
Linlin Fan
Shangguang Wang
Zhichao Lu
89
1
0
22 Oct 2024
Towards Optimal Adapter Placement for Efficient Transfer Learning
Towards Optimal Adapter Placement for Efficient Transfer Learning
Aleksandra I. Nowak
Otniel-Bogdan Mercea
Anurag Arnab
Jonas Pfeiffer
Yann N. Dauphin
Utku Evci
76
1
0
21 Oct 2024
Layer-wise Importance Matters: Less Memory for Better Performance in
  Parameter-efficient Fine-tuning of Large Language Models
Layer-wise Importance Matters: Less Memory for Better Performance in Parameter-efficient Fine-tuning of Large Language Models
Kai Yao
P. Gao
Lichun Li
Yuan Zhao
Xiaofeng Wang
Wei Wang
Jianke Zhu
56
2
0
15 Oct 2024
Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition
Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition
Zheda Mai
Ping Zhang
Cheng-Hao Tu
Hong-You Chen
Li Zhang
Wei-Lun Chao
52
1
0
24 Sep 2024
Multiple-Exit Tuning: Towards Inference-Efficient Adaptation for Vision
  Transformer
Multiple-Exit Tuning: Towards Inference-Efficient Adaptation for Vision Transformer
Zheng Liu
Jinchao Zhu
Nannan Li
Gao Huang
84
0
0
21 Sep 2024
AI Act for the Working Programmer
AI Act for the Working Programmer
Holger Hermanns
Anne Lauber-Rönsberg
Philip Meinel
Sarah Sterz
Hanwei Zhang
69
1
0
23 Jul 2024
Enhancing Parameter Efficiency and Generalization in Large-Scale Models:
  A Regularized and Masked Low-Rank Adaptation Approach
Enhancing Parameter Efficiency and Generalization in Large-Scale Models: A Regularized and Masked Low-Rank Adaptation Approach
Yuzhu Mao
Siqi Ping
Zihao Zhao
Yang Liu
Wenbo Ding
93
1
0
16 Jul 2024
Foundation Model Engineering: Engineering Foundation Models Just as
  Engineering Software
Foundation Model Engineering: Engineering Foundation Models Just as Engineering Software
Dezhi Ran
Mengzhou Wu
Wei Yang
Tao Xie
AI4CE
79
2
0
11 Jul 2024
Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method
  for Pre-trained Language Models
Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models
Yuyan Chen
Qiang Fu
Ge Fan
Lun Du
Jian-Guang Lou
Shi Han
Dongmei Zhang
Zhixu Li
Yanghua Xiao
MoE
79
17
0
04 Jul 2024
HyperLoader: Integrating Hypernetwork-Based LoRA and Adapter Layers into
  Multi-Task Transformers for Sequence Labelling
HyperLoader: Integrating Hypernetwork-Based LoRA and Adapter Layers into Multi-Task Transformers for Sequence Labelling
Jesús-Germán Ortiz-Barajas
Helena Gómez-Adorno
Thamar Solorio
58
2
0
01 Jul 2024
A Survey on Mixture of Experts in Large Language Models
A Survey on Mixture of Experts in Large Language Models
Weilin Cai
Juyong Jiang
Fan Wang
Jing Tang
Sunghun Kim
Jiayi Huang
MoE
66
70
0
26 Jun 2024
Structured Unrestricted-Rank Matrices for Parameter Efficient
  Fine-tuning
Structured Unrestricted-Rank Matrices for Parameter Efficient Fine-tuning
Arijit Sehanobish
Avinava Dubey
Krzysztof Choromanski
Somnath Basu Roy Chowdhury
Deepali Jain
Vikas Sindhwani
Snigdha Chaturvedi
ALM
81
3
0
25 Jun 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
Maria Bielikova
83
1
0
18 Jun 2024
Adapter-X: A Novel General Parameter-Efficient Fine-Tuning Framework for
  Vision
Adapter-X: A Novel General Parameter-Efficient Fine-Tuning Framework for Vision
Minglei Li
Peng Ye
Yongqi Huang
Lin Zhang
Tao Chen
Tong He
Jiayuan Fan
Wanli Ouyang
MoE
117
5
0
05 Jun 2024
Low-Rank Adaption on Transformer-based Oriented Object Detector for
  Satellite Onboard Processing of Remote Sensing Images
Low-Rank Adaption on Transformer-based Oriented Object Detector for Satellite Onboard Processing of Remote Sensing Images
Xinyang Pu
Feng Xu
70
3
0
04 Jun 2024
Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning
Random Masking Finds Winning Tickets for Parameter Efficient Fine-tuning
Jing Xu
Jingzhao Zhang
102
7
0
04 May 2024
Towards Neural Synthesis for SMT-Assisted Proof-Oriented Programming
Towards Neural Synthesis for SMT-Assisted Proof-Oriented Programming
Saikat Chakraborty
Gabriel Ebner
Siddharth Bhat
Sarah Fakhoury
Sakina Fatima
Shuvendu K. Lahiri
Nikhil Swamy
80
16
0
03 May 2024
RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document
  Abstractive Summarization
RST-LoRA: A Discourse-Aware Low-Rank Adaptation for Long Document Abstractive Summarization
Dongqi Pu
Vera Demberg
138
6
0
01 May 2024
Towards Incremental Learning in Large Language Models: A Critical Review
Towards Incremental Learning in Large Language Models: A Critical Review
M. Jovanovic
Peter Voss
ELMCLLKELM
116
5
0
28 Apr 2024
Efficient Remote Sensing with Harmonized Transfer Learning and Modality
  Alignment
Efficient Remote Sensing with Harmonized Transfer Learning and Modality Alignment
Tengjun Huang
117
0
0
28 Apr 2024
Navigating the Landscape of Large Language Models: A Comprehensive
  Review and Analysis of Paradigms and Fine-Tuning Strategies
Navigating the Landscape of Large Language Models: A Comprehensive Review and Analysis of Paradigms and Fine-Tuning Strategies
Benjue Weng
LM&MA
117
10
0
13 Apr 2024
DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large
  Language Model
DLoRA: Distributed Parameter-Efficient Fine-Tuning Solution for Large Language Model
Chao Gao
Sai Qian Zhang
ALM
155
7
0
08 Apr 2024
Facial Affective Behavior Analysis with Instruction Tuning
Facial Affective Behavior Analysis with Instruction Tuning
Yifan Li
Anh Dao
Wentao Bao
Zhen Tan
Tianlong Chen
Huan Liu
Yu Kong
CVBM
116
15
0
07 Apr 2024
Unlocking Parameter-Efficient Fine-Tuning for Low-Resource Language
  Translation
Unlocking Parameter-Efficient Fine-Tuning for Low-Resource Language Translation
Tong Su
Xin Peng
Sarubi Thillainathan
David Guzmán
Surangika Ranathunga
En-Shiun Annie Lee
65
3
0
05 Apr 2024
Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation
Parameter Efficient Quasi-Orthogonal Fine-Tuning via Givens Rotation
Xinyu Ma
Xu Chu
Zhibang Yang
Yang Lin
Xin Gao
Junfeng Zhao
96
10
0
05 Apr 2024
Query-driven Relevant Paragraph Extraction from Legal Judgments
Query-driven Relevant Paragraph Extraction from Legal Judgments
Santosh T.Y.S.S
Elvin Quero Hernandez
Matthias Grabmair
AILaw
100
2
0
31 Mar 2024
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey
Zeyu Han
Chao Gao
Jinyang Liu
Jeff Zhang
Sai Qian Zhang
300
403
0
21 Mar 2024
BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient
  Low-Rank Adaptation of Large Pre-trained Models
BiLoRA: A Bi-level Optimization Framework for Overfitting-Resilient Low-Rank Adaptation of Large Pre-trained Models
Rushi Qiang
Ruiyi Zhang
Pengtao Xie
AI4CE
72
10
0
19 Mar 2024
Introducing Routing Functions to Vision-Language Parameter-Efficient
  Fine-Tuning with Low-Rank Bottlenecks
Introducing Routing Functions to Vision-Language Parameter-Efficient Fine-Tuning with Low-Rank Bottlenecks
Tingyu Qu
Tinne Tuytelaars
Marie-Francine Moens
MoE
84
2
0
14 Mar 2024
Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer
  Learning for Point Cloud Analysis
Dynamic Adapter Meets Prompt Tuning: Parameter-Efficient Transfer Learning for Point Cloud Analysis
Xin Zhou
Dingkang Liang
Wei Xu
Xingkui Zhu
Yihan Xu
Zhikang Zou
Xiang Bai
94
28
0
03 Mar 2024
FlexLLM: A System for Co-Serving Large Language Model Inference and Parameter-Efficient Finetuning
FlexLLM: A System for Co-Serving Large Language Model Inference and Parameter-Efficient Finetuning
Xupeng Miao
Gabriele Oliaro
Xinhao Cheng
Vineeth Kada
Ruohan Gao
...
April Yang
Yingcheng Wang
Mengdi Wu
Colin Unger
Zhihao Jia
MoE
173
10
0
29 Feb 2024
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