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. 2202.13840
  4. Cited By
Text Smoothing: Enhance Various Data Augmentation Methods on Text
  Classification Tasks

Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks

28 February 2022
Xing Wu
Chaochen Gao
Meng Lin
Liangjun Zang
Zhongyuan Wang
Songlin Hu
ArXivPDFHTML

Papers citing "Text Smoothing: Enhance Various Data Augmentation Methods on Text Classification Tasks"

15 / 15 papers shown
Title
Enhancing In-Context Learning via Implicit Demonstration Augmentation
Enhancing In-Context Learning via Implicit Demonstration Augmentation
Xiaoling Zhou
Wei Ye
Yidong Wang
Chaoya Jiang
Zhemg Lee
Rui Xie
Shikun Zhang
28
3
0
27 Jun 2024
From Robustness to Improved Generalization and Calibration in
  Pre-trained Language Models
From Robustness to Improved Generalization and Calibration in Pre-trained Language Models
Josip Jukić
Jan Snajder
37
0
0
31 Mar 2024
Labels Need Prompts Too: Mask Matching for Natural Language
  Understanding Tasks
Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks
Bo Li
Wei Ye
Quan-ding Wang
Wen Zhao
Shikun Zhang
VLM
30
1
0
14 Dec 2023
Revisiting the Role of Label Smoothing in Enhanced Text Sentiment
  Classification
Revisiting the Role of Label Smoothing in Enhanced Text Sentiment Classification
Yijie Gao
Shijing Si
Hua Luo
Haixia Sun
Yugui Zhang
13
0
0
11 Dec 2023
Summarization-based Data Augmentation for Document Classification
Summarization-based Data Augmentation for Document Classification
Yueguan Wang
Naoki Yoshinaga
VLM
RALM
16
1
0
01 Dec 2023
PAC-tuning:Fine-tuning Pretrained Language Models with PAC-driven
  Perturbed Gradient Descent
PAC-tuning:Fine-tuning Pretrained Language Models with PAC-driven Perturbed Gradient Descent
Guang-Da Liu
Zhiyu Xue
Xitong Zhang
K. Johnson
Rongrong Wang
20
5
0
26 Oct 2023
Steering Language Generation: Harnessing Contrastive Expert Guidance and
  Negative Prompting for Coherent and Diverse Synthetic Data Generation
Steering Language Generation: Harnessing Contrastive Expert Guidance and Negative Prompting for Coherent and Diverse Synthetic Data Generation
Charles OÑeill
Y. Ting 丁
I. Ciucă
Jack Miller
Thang Bui
SyDa
37
1
0
15 Aug 2023
Investigating Masking-based Data Generation in Language Models
Investigating Masking-based Data Generation in Language Models
Edward Ma
35
0
0
16 Jun 2023
Adversarial Word Dilution as Text Data Augmentation in Low-Resource
  Regime
Adversarial Word Dilution as Text Data Augmentation in Low-Resource Regime
J. Chen
Richong Zhang
Zheyan Luo
Chunming Hu
Yongyi Mao
14
4
0
16 May 2023
BootAug: Boosting Text Augmentation via Hybrid Instance Filtering
  Framework
BootAug: Boosting Text Augmentation via Hybrid Instance Filtering Framework
Heng Yang
Ke Li
43
5
0
06 Oct 2022
PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for
  Perturbation-Robust Slot Filling
PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling
Guanting Dong
Daichi Guo
Liwen Wang
Xuefeng Li
Zechen Wang
...
Hao Lei
Xinyue Cui
Yi Huang
Junlan Feng
Weiran Xu
21
12
0
24 Aug 2022
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot
  Learners
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot Learners
Canyu Chen
Kai Shu
VLM
31
8
0
18 May 2022
Smoothed Contrastive Learning for Unsupervised Sentence Embedding
Smoothed Contrastive Learning for Unsupervised Sentence Embedding
Xing Wu
Chaochen Gao
Liangjun Zang
Jizhong Han
Zhongyuan Wang
Songlin Hu
SSL
AILaw
14
18
0
09 Sep 2021
Data Augmentation using Pre-trained Transformer Models
Data Augmentation using Pre-trained Transformer Models
Varun Kumar
Ashutosh Choudhary
Eunah Cho
VLM
214
347
0
04 Mar 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
223
438
0
25 Sep 2019
1