PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot Learners

18 May 2022

Papers citing "PromptDA: Label-guided Data Augmentation for Prompt-based Few-shot Learners"

7 / 7 papers shown

Title
Data Augmentation for Neural NLP Domagoj Pluscec Jan Snajder 6 6 0 22 Feb 2023
MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better Translators Zhixing Tan Xiangwen Zhang Shuo Wang Yang Liu VLM LRM 187 51 0 13 Oct 2021
Data Augmentation Approaches in Natural Language Processing: A Survey Bohan Li Yutai Hou Wanxiang Che 113 269 0 05 Oct 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,898 0 31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 251 1,382 0 21 Jan 2020
Delta-encoder: an effective sample synthesis method for few-shot object recognition Eli Schwartz Leonid Karlinsky J. Shtok Sivan Harary Mattias Marder Rogerio Feris Abhishek Kumar Raja Giryes A. Bronstein 171 350 0 12 Jun 2018
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