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Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation

Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation

6 October 2022
Xu Guo
Boyang Albert Li
Han Yu
    VLM
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Papers citing "Improving the Sample Efficiency of Prompt Tuning with Domain Adaptation"

22 / 22 papers shown
Title
Large language model as user daily behavior data generator: balancing population diversity and individual personality
Large language model as user daily behavior data generator: balancing population diversity and individual personality
Haoxin Li
Jingtao Ding
Jiahui Gong
Yong Li
SyDa
25
0
0
23 May 2025
CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging
CAT Merging: A Training-Free Approach for Resolving Conflicts in Model Merging
Wenju Sun
Qingyong Li
Yangli-ao Geng
Boyang Li
MoMe
47
0
0
11 May 2025
Generating Synthetic Datasets for Few-shot Prompt Tuning
Generating Synthetic Datasets for Few-shot Prompt Tuning
Xu Guo
Zilin Du
Boyang Li
Chunyan Miao
56
1
0
08 Oct 2024
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization
  for Language Models
Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models
Chengzhengxu Li
Xiaoming Liu
Zhaohan Zhang
Yichen Wang
Chen Liu
Y. Lan
Chao Shen
86
2
0
15 Jun 2024
Generative AI for Synthetic Data Generation: Methods, Challenges and the
  Future
Generative AI for Synthetic Data Generation: Methods, Challenges and the Future
Xu Guo
Yiqiang Chen
SyDa
45
31
0
07 Mar 2024
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of
  Language Models
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models
Kang He
Yinghan Long
Kaushik Roy
54
2
0
15 Feb 2024
How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?
How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?
Rheeya Uppaal
Yixuan Li
Junjie Hu
52
5
0
31 Jan 2024
Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion
  Recognition
Efficient Cross-Task Prompt Tuning for Few-Shot Conversational Emotion Recognition
Yige Xu
Zhiwei Zeng
Zhiqi Shen
VLM
41
3
0
23 Oct 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
37
129
0
30 May 2023
Robust Prompt Optimization for Large Language Models Against
  Distribution Shifts
Robust Prompt Optimization for Large Language Models Against Distribution Shifts
Moxin Li
Wenjie Wang
Fuli Feng
Yixin Cao
Jizhi Zhang
Tat-Seng Chua
OffRL
72
16
0
23 May 2023
Instruction Tuned Models are Quick Learners
Instruction Tuned Models are Quick Learners
Himanshu Gupta
Saurabh Arjun Sawant
Swaroop Mishra
Mutsumi Nakamura
Arindam Mitra
Santosh Mashetty
Chitta Baral
51
26
0
17 May 2023
Dynamic Prompting: A Unified Framework for Prompt Tuning
Dynamic Prompting: A Unified Framework for Prompt Tuning
Xianjun Yang
Wei Cheng
Xujiang Zhao
Wenchao Yu
Linda R. Petzold
Haifeng Chen
VLM
63
15
0
06 Mar 2023
Efficient Language Model Training through Cross-Lingual and Progressive
  Transfer Learning
Efficient Language Model Training through Cross-Lingual and Progressive Transfer Learning
Malte Ostendorff
Georg Rehm
CLIP
VLM
CLL
58
25
0
23 Jan 2023
On the Domain Adaptation and Generalization of Pretrained Language
  Models: A Survey
On the Domain Adaptation and Generalization of Pretrained Language Models: A Survey
Xu Guo
Han Yu
LM&MA
VLM
60
29
0
06 Nov 2022
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation
Domain Confused Contrastive Learning for Unsupervised Domain Adaptation
Quanyu Long
Tianze Luo
Wenya Wang
Sinno Jialin Pan
59
8
0
10 Jul 2022
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
SPoT: Better Frozen Model Adaptation through Soft Prompt Transfer
Tu Vu
Brian Lester
Noah Constant
Rami Al-Rfou
Daniel Cer
VLM
LRM
139
279
0
15 Oct 2021
Effectiveness of Pre-training for Few-shot Intent Classification
Effectiveness of Pre-training for Few-shot Intent Classification
Haode Zhang
Yuwei Zhang
Li-Ming Zhan
Jiaxin Chen
Guangyuan Shi
Xiao-Ming Wu
Albert Y. S. Lam
VLM
86
44
0
13 Sep 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
295
3,906
0
18 Apr 2021
WARP: Word-level Adversarial ReProgramming
WARP: Word-level Adversarial ReProgramming
Karen Hambardzumyan
Hrant Khachatrian
Jonathan May
AAML
260
343
0
01 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
243
1,941
0
31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
261
1,600
0
21 Jan 2020
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
FreeLB: Enhanced Adversarial Training for Natural Language Understanding
Chen Zhu
Yu Cheng
Zhe Gan
S. Sun
Tom Goldstein
Jingjing Liu
AAML
237
437
0
25 Sep 2019
1