ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2305.16742
  4. Cited By
Parameter-Efficient Fine-Tuning without Introducing New Latency

Parameter-Efficient Fine-Tuning without Introducing New Latency

26 May 2023
Baohao Liao
Yan Meng
Christof Monz
ArXiv (abs)PDFHTML

Papers citing "Parameter-Efficient Fine-Tuning without Introducing New Latency"

35 / 35 papers shown
Title
MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection
MaCP: Minimal yet Mighty Adaptation via Hierarchical Cosine Projection
Yixian Shen
Qi Bi
Jia-Hong Huang
Hongyi Zhu
Andy D. Pimentel
Anuj Pathania
15
0
0
29 May 2025
Dual Decomposition of Weights and Singular Value Low Rank Adaptation
Dual Decomposition of Weights and Singular Value Low Rank Adaptation
Jialong Han
Si Zhang
Ke Zhang
43
0
0
20 May 2025
Enhancing Health Mention Classification Performance: A Study on Advancements in Parameter Efficient Tuning
Enhancing Health Mention Classification Performance: A Study on Advancements in Parameter Efficient Tuning
Reem Abdel-Salam
M. Adewunmi
90
0
0
30 Apr 2025
Efficient Model Editing with Task-Localized Sparse Fine-tuning
Efficient Model Editing with Task-Localized Sparse Fine-tuning
Leonardo Iurada
Marco Ciccone
Tatiana Tommasi
KELMMoMe
148
3
0
03 Apr 2025
FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation
FisherTune: Fisher-Guided Robust Tuning of Vision Foundation Models for Domain Generalized Segmentation
Dong Zhao
Jinlong Li
Shuang Wang
Mengyao Wu
Qi Zang
N. Sebe
Zhun Zhong
458
1
0
23 Mar 2025
ClusComp: A Simple Paradigm for Model Compression and Efficient Finetuning
ClusComp: A Simple Paradigm for Model Compression and Efficient Finetuning
Baohao Liao
Christian Herold
Seyyed Hadi Hashemi
Stefan Vasilev
Shahram Khadivi
Christof Monz
MQ
130
0
0
17 Mar 2025
Neural Networks Remember More: The Power of Parameter Isolation and Combination
Neural Networks Remember More: The Power of Parameter Isolation and Combination
Biqing Zeng
Zehan Li
Aladdin Ayesh
CLLKELM
71
0
0
16 Feb 2025
SSH: Sparse Spectrum Adaptation via Discrete Hartley Transformation
Yixian Shen
Qi Bi
Jia-Hong Huang
Hongyi Zhu
Andy D. Pimentel
Anuj Pathania
126
1
0
08 Feb 2025
Decentralized Low-Rank Fine-Tuning of Large Language Models
Decentralized Low-Rank Fine-Tuning of Large Language Models
Sajjad Ghiasvand
Mahnoosh Alizadeh
Ramtin Pedarsani
ALM
152
2
0
26 Jan 2025
Toward Realistic Camouflaged Object Detection: Benchmarks and Method
Toward Realistic Camouflaged Object Detection: Benchmarks and Method
Zhimeng Xin
Tianxu Wu
Shiming Chen
Shuo Ye
Zijing Xie
Yixiong Zou
Xinge You
Yufei Guo
50
0
0
13 Jan 2025
CleaR: Towards Robust and Generalized Parameter-Efficient Fine-Tuning
  for Noisy Label Learning
CleaR: Towards Robust and Generalized Parameter-Efficient Fine-Tuning for Noisy Label Learning
Yeachan Kim
Junho Kim
SangKeun Lee
NoLaAAML
139
2
0
31 Oct 2024
KD-LoRA: A Hybrid Approach to Efficient Fine-Tuning with LoRA and
  Knowledge Distillation
KD-LoRA: A Hybrid Approach to Efficient Fine-Tuning with LoRA and Knowledge Distillation
Rambod Azimi
Rishav Rishav
M. Teichmann
Samira Ebrahimi Kahou
ALM
51
0
0
28 Oct 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
174
7
0
24 Oct 2024
Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models
Communication-Efficient and Tensorized Federated Fine-Tuning of Large Language Models
Sajjad Ghiasvand
Yifan Yang
Zhiyu Xue
Mahnoosh Alizadeh
Zheng Zhang
Ramtin Pedarsani
FedML
168
5
0
16 Oct 2024
DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
DARE the Extreme: Revisiting Delta-Parameter Pruning For Fine-Tuned Models
Wenlong Deng
Yize Zhao
V. Vakilian
Minghui Chen
Xiaoxiao Li
Christos Thrampoulidis
216
7
0
12 Oct 2024
A Survey: Collaborative Hardware and Software Design in the Era of Large
  Language Models
A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models
Cong Guo
Feng Cheng
Zhixu Du
James Kiessling
Jonathan Ku
...
Qilin Zheng
Guanglei Zhou
Hai
Li-Wei Li
Yiran Chen
60
7
0
08 Oct 2024
Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models
Comparing Retrieval-Augmentation and Parameter-Efficient Fine-Tuning for Privacy-Preserving Personalization of Large Language Models
Alireza Salemi
Hamed Zamani
90
10
0
14 Sep 2024
Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language Models
Step-by-Step Unmasking for Parameter-Efficient Fine-tuning of Large Language Models
Aradhye Agarwal
Suhas Kamasetty Ramesh
Ayan Sengupta
Tanmoy Chakraborty
68
1
0
26 Aug 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
80
1
0
01 Aug 2024
A Survey on LoRA of Large Language Models
A Survey on LoRA of Large Language Models
Yuren Mao
Yuhang Ge
Yijiang Fan
Wenyi Xu
Yu Mi
Zhonghao Hu
Yunjun Gao
ALM
129
41
0
08 Jul 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
78
8
0
07 Jul 2024
Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for
  Sparse Architectural Large Language Models
Let the Expert Stick to His Last: Expert-Specialized Fine-Tuning for Sparse Architectural Large Language Models
Zihan Wang
Deli Chen
Damai Dai
Runxin Xu
Zhuoshu Li
Y. Wu
MoEALM
79
3
0
02 Jul 2024
Evaluating the Efficacy of Foundational Models: Advancing Benchmarking
  Practices to Enhance Fine-Tuning Decision-Making
Evaluating the Efficacy of Foundational Models: Advancing Benchmarking Practices to Enhance Fine-Tuning Decision-Making
O. Amujo
S. Yang
84
1
0
25 Jun 2024
SLTrain: a sparse plus low-rank approach for parameter and memory
  efficient pretraining
SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining
Andi Han
Jiaxiang Li
Wei Huang
Mingyi Hong
Akiko Takeda
Pratik Jawanpuria
Bamdev Mishra
107
16
0
04 Jun 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
Med42 -- Evaluating Fine-Tuning Strategies for Medical LLMs:
  Full-Parameter vs. Parameter-Efficient Approaches
Med42 -- Evaluating Fine-Tuning Strategies for Medical LLMs: Full-Parameter vs. Parameter-Efficient Approaches
Clément Christophe
Praveen K Kanithi
Prateek Munjal
Tathagata Raha
Nasir Hayat
...
Charles Chen
Natalia Vassilieva
Boulbaba Ben Amor
Marco AF Pimentel
Shadab Khan
AI4MHLM&MA
97
35
0
23 Apr 2024
Neuron Specialization: Leveraging intrinsic task modularity for
  multilingual machine translation
Neuron Specialization: Leveraging intrinsic task modularity for multilingual machine translation
Shaomu Tan
Di Wu
Christof Monz
MoMe
110
9
0
17 Apr 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
295
403
0
21 Mar 2024
ApiQ: Finetuning of 2-Bit Quantized Large Language Model
ApiQ: Finetuning of 2-Bit Quantized Large Language Model
Baohao Liao
Christian Herold
Shahram Khadivi
Christof Monz
CLLMQ
129
15
0
07 Feb 2024
Read to Play (R2-Play): Decision Transformer with Multimodal Game
  Instruction
Read to Play (R2-Play): Decision Transformer with Multimodal Game Instruction
Yonggang Jin
Ge Zhang
Hao Zhao
Tianyu Zheng
Jiawei Guo
Liuyu Xiang
Shawn Yue
Stephen W. Huang
Zhaofeng He
Jie Fu
OffRL
80
4
0
06 Feb 2024
A Survey of Deep Learning and Foundation Models for Time Series
  Forecasting
A Survey of Deep Learning and Foundation Models for Time Series Forecasting
John A. Miller
Mohammed Aldosari
Farah Saeed
Nasid Habib Barna
Subas Rana
I. Arpinar
Ninghao Liu
AI4TSAI4CE
111
22
0
25 Jan 2024
CAPIVARA: Cost-Efficient Approach for Improving Multilingual CLIP
  Performance on Low-Resource Languages
CAPIVARA: Cost-Efficient Approach for Improving Multilingual CLIP Performance on Low-Resource Languages
G. O. D. Santos
Diego A. B. Moreira
Alef Iury Ferreira
Jhessica Silva
Luiz Pereira
...
H. Maia
Nádia Da Silva
Esther Colombini
Hélio Pedrini
Sandra Avila
VLMCLIP
71
5
0
20 Oct 2023
Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning
Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning
Hao Zhao
Jie Fu
Zhaofeng He
155
6
0
18 Oct 2023
HPC-GPT: Integrating Large Language Model for High-Performance Computing
HPC-GPT: Integrating Large Language Model for High-Performance Computing
Xianzhong Ding
Le Chen
M. Emani
Chunhua Liao
Pei-Hung Lin
T. Vanderbruggen
Zhen Xie
Alberto Cerpa
Wan Du
LM&MAAI4MH
83
29
0
03 Oct 2023
Make Pre-trained Model Reversible: From Parameter to Memory Efficient
  Fine-Tuning
Make Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
Baohao Liao
Shaomu Tan
Christof Monz
KELM
105
30
0
01 Jun 2023
1