What Makes Pre-trained Language Models Better Zero-shot Learners?

30 September 2022

Papers citing "What Makes Pre-trained Language Models Better Zero-shot Learners?"

7 / 7 papers shown

Title
Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models Kang He Yinghan Long Kaushik Roy 28 2 0 15 Feb 2024
SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning Dongsheng Zhu Zhenyu Mao Jinghui Lu Rui Zhao Fei Tan 28 1 0 08 Oct 2022
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,848 0 18 Apr 2021
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,312 0 17 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 241 1,919 0 31 Dec 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference Timo Schick Hinrich Schütze 258 1,588 0 21 Jan 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 297 6,956 0 20 Apr 2018