Empowering Large Language Models for Textual Data Augmentation

26 April 2024

Papers citing "Empowering Large Language Models for Textual Data Augmentation"

7 / 7 papers shown

Title
Diversity-Oriented Data Augmentation with Large Language Models Zaitian Wang Jinghan Zhang Xinhao Zhang Kunpeng Liu Pengfei Wang Yuanchun Zhou 78 1 0 17 Feb 2025
Measuring Diversity in Synthetic Datasets Yuchang Zhu Huizhe Zhang Bingzhe Wu Jintang Li Zibin Zheng Peilin Zhao Liang Chen Yatao Bian 95 0 0 12 Feb 2025
Let's Ask GNN: Empowering Large Language Model for Graph In-Context Learning Zhengyu Hu Yichuan Li Zhengyu Chen J. Wang Han Liu Kyumin Lee Kaize Ding GNN 95 1 0 09 Oct 2024
ZeroShotDataAug: Generating and Augmenting Training Data with ChatGPT S. Ubani S. Polat Rodney D. Nielsen 84 51 0 27 Apr 2023
Semantically Consistent Data Augmentation for Neural Machine Translation via Conditional Masked Language Model Qiao Cheng Jin Huang Yitao Duan 23 7 0 22 Sep 2022
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP Qinyuan Ye Bill Yuchen Lin Xiang Ren 209 179 0 18 Apr 2021
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