TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding

12 May 2022

Diyi Yang

Papers citing "TreeMix: Compositional Constituency-based Data Augmentation for Natural Language Understanding"

20 / 20 papers shown

Title
A Comprehensive Survey on Data Augmentation Zaitian Wang Pengfei Wang Kunpeng Liu Pengyang Wang Yanjie Fu Chang-Tien Lu Charu Aggarwal Jian Pei Yuanchun Zhou ViT 90 18 0 15 May 2024
Evaluation Metrics for Text Data Augmentation in NLP Marcellus Amadeus William Alberto Cruz Castañeda 17 1 0 09 Feb 2024
DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks A. Maritan Jiaao Chen S. Dey Luca Schenato Diyi Yang Xing Xie ELM LRM 14 42 0 29 Sep 2023
Data Augmentation for Conversational AI Heydar Soudani Evangelos Kanoulas Faegheh Hasibi 17 3 0 09 Sep 2023
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 29 1 0 15 Aug 2023
Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions John Joon Young Chung Ece Kamar Saleema Amershi ALM 19 108 0 07 Jun 2023
Understanding the Effect of Data Augmentation on Knowledge Distillation Ziqi Wang Chi Han Wenxuan Bao Heng Ji 11 2 0 21 May 2023
A Survey of Mix-based Data Augmentation: Taxonomy, Methods, Applications, and Explainability Chengtai Cao Fan Zhou Yurou Dai Jianping Wang Kunpeng Zhang AAML 11 26 0 21 Dec 2022
Contrastive Learning Reduces Hallucination in Conversations Weiwei Sun Zhengliang Shi Shen Gao Pengjie Ren Maarten de Rijke Z. Ren 18 62 0 20 Dec 2022
Feature Weaken: Vicinal Data Augmentation for Classification Songhao Jiang Yan Chu Tian-Hui Ma Tianning Zang 10 0 0 20 Nov 2022
Augmentation with Projection: Towards an Effective and Efficient Data Augmentation Paradigm for Distillation Ziqi Wang Yuexin Wu Frederick Liu Daogao Liu Le Hou Hongkun Yu Jing Li Heng Ji 19 4 0 21 Oct 2022
Syntax-driven Data Augmentation for Named Entity Recognition Arie Pratama Sutiono Gus Hahn-Powell 12 4 0 15 Aug 2022
PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot Learners Canyu Chen Kai Shu VLM 26 8 0 18 May 2022
Compositionality as Lexical Symmetry Ekin Akyürek Jacob Andreas CoGe 42 8 0 30 Jan 2022
Co-Mixup: Saliency Guided Joint Mixup with Supermodular Diversity Jang-Hyun Kim Wonho Choo Hosan Jeong Hyun Oh Song 195 173 0 05 Feb 2021
Substructure Substitution: Structured Data Augmentation for NLP Freda Shi Karen Livescu Kevin Gimpel 177 41 0 02 Jan 2021
Data Augmentation using Pre-trained Transformer Models Varun Kumar Ashutosh Choudhary Eunah Cho VLM 209 315 0 04 Mar 2020
Revisiting Self-Training for Neural Sequence Generation Junxian He Jiatao Gu Jiajun Shen MarcÁurelio Ranzato SSL LRM 236 252 0 30 Sep 2019
FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu Yu Cheng Zhe Gan S. Sun Tom Goldstein Jingjing Liu AAML 205 430 0 25 Sep 2019
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 6,927 0 20 Apr 2018