Enhancing Black-Box Few-Shot Text Classification with Prompt-Based Data
Augmentation

Enhancing Black-Box Few-Shot Text Classification with Prompt-Based Data Augmentation

23 May 2023

Chen Zhang

Bin Wang

Yiming Chen

Haizhou Li

Papers citing "Enhancing Black-Box Few-Shot Text Classification with Prompt-Based Data Augmentation"

4 / 4 papers shown

Title
BBTv2: Towards a Gradient-Free Future with Large Language Models Tianxiang Sun Zhengfu He Hong Qian Yunhua Zhou Xuanjing Huang Xipeng Qiu 100 53 0 23 May 2022
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 278 3,784 0 18 Apr 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,898 0 31 Dec 2020
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