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Tiny-Attention Adapter: Contexts Are More Important Than the Number of
  Parameters

Tiny-Attention Adapter: Contexts Are More Important Than the Number of Parameters

18 October 2022
Hongyu Zhao
Hao Tan
Hongyuan Mei
    MoE
ArXivPDFHTML

Papers citing "Tiny-Attention Adapter: Contexts Are More Important Than the Number of Parameters"

14 / 14 papers shown
Title
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
75
2
0
24 Feb 2025
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
Parameter-Efficient Fine-Tuning in Large Models: A Survey of Methodologies
L. Wang
Sheng Chen
Linnan Jiang
Shu Pan
Runze Cai
Sen Yang
Fei Yang
44
3
0
24 Oct 2024
The Impact of LoRA Adapters for LLMs on Clinical NLP Classification
  Under Data Limitations
The Impact of LoRA Adapters for LLMs on Clinical NLP Classification Under Data Limitations
Thanh-Dung Le
T. Nguyen
Vu Nguyen Ha
19
0
0
27 Jul 2024
Spectral Adapter: Fine-Tuning in Spectral Space
Spectral Adapter: Fine-Tuning in Spectral Space
Fangzhao Zhang
Mert Pilanci
35
8
0
22 May 2024
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models
Fanxu Meng
Zhaohui Wang
Muhan Zhang
VLM
59
67
0
03 Apr 2024
Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models:
  A Critical Review and Assessment
Parameter-Efficient Fine-Tuning Methods for Pretrained Language Models: A Critical Review and Assessment
Lingling Xu
Haoran Xie
S. J. Qin
Xiaohui Tao
F. Wang
30
130
0
19 Dec 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
16
126
0
30 May 2023
KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature
  Adaptation of Vision-Language Models
KAFA: Rethinking Image Ad Understanding with Knowledge-Augmented Feature Adaptation of Vision-Language Models
Zhiwei Jia
P. Narayana
Arjun Reddy Akula
G. Pruthi
Haoran Su
Sugato Basu
Varun Jampani
VLM
OffRL
15
4
0
28 May 2023
PEFT-Ref: A Modular Reference Architecture and Typology for
  Parameter-Efficient Finetuning Techniques
PEFT-Ref: A Modular Reference Architecture and Typology for Parameter-Efficient Finetuning Techniques
Mohammed Sabry
Anya Belz
20
8
0
24 Apr 2023
A Region-Prompted Adapter Tuning for Visual Abductive Reasoning
A Region-Prompted Adapter Tuning for Visual Abductive Reasoning
Hao Zhang
Yeo Keat Ee
Basura Fernando
VLM
19
3
0
18 Mar 2023
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
236
804
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
3,835
0
18 Apr 2021
WARP: Word-level Adversarial ReProgramming
WARP: Word-level Adversarial ReProgramming
Karen Hambardzumyan
Hrant Khachatrian
Jonathan May
AAML
254
341
0
01 Jan 2021
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
6,943
0
20 Apr 2018
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