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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

7 June 2024
Yibo Yang
Xiaojie Li
Zhongzhu Zhou
S. Song
Jianlong Wu
Liqiang Nie
Bernard Ghanem
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Papers citing "CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning"

10 / 10 papers shown
Title
Sparsity Outperforms Low-Rank Projections in Few-Shot Adaptation
Sparsity Outperforms Low-Rank Projections in Few-Shot Adaptation
Nairouz Mrabah
Nicolas Richet
Ismail Ben Ayed
Eric Granger
BDL
VLM
42
0
0
16 Apr 2025
LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models
LoRASculpt: Sculpting LoRA for Harmonizing General and Specialized Knowledge in Multimodal Large Language Models
Jian Liang
Wenke Huang
Guancheng Wan
Qu Yang
Mang Ye
MoMe
CLL
AI4CE
52
1
0
21 Mar 2025
Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model
Wenke Huang
Jian Liang
Xianda Guo
Yiyang Fang
Guancheng Wan
...
Bin Yang
He Li
Jiawei Shao
Mang Ye
Bo Du
OffRL
LRM
MLLM
KELM
VLM
55
1
0
06 Mar 2025
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement
Tianyu Zheng
Ge Zhang
Tianhao Shen
Xueling Liu
Bill Yuchen Lin
Jie Fu
Wenhu Chen
Xiang Yue
SyDa
67
102
0
08 Jan 2025
Spectral-Aware Low-Rank Adaptation for Speaker Verification
Spectral-Aware Low-Rank Adaptation for Speaker Verification
Zhe Li
Man-Wai Mak
Mert Pilanci
Hung-yi Lee
H. Meng
36
0
0
07 Jan 2025
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for
  Few-Shot Class-Incremental Learning
Mamba-FSCIL: Dynamic Adaptation with Selective State Space Model for Few-Shot Class-Incremental Learning
Xiaojie Li
Yibo Yang
Jianlong Wu
Bernard Ghanem
Liqiang Nie
Min Zhang
Mamba
34
5
0
08 Jul 2024
Fine-tuned Language Models are Continual Learners
Fine-tuned Language Models are Continual Learners
Thomas Scialom
Tuhin Chakrabarty
Smaranda Muresan
CLL
LRM
132
116
0
24 May 2022
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
275
3,784
0
18 Apr 2021
Fine-Tuning Language Models from Human Preferences
Fine-Tuning Language Models from Human Preferences
Daniel M. Ziegler
Nisan Stiennon
Jeff Wu
Tom B. Brown
Alec Radford
Dario Amodei
Paul Christiano
G. Irving
ALM
273
1,561
0
18 Sep 2019
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
6,003
0
20 Apr 2018
1