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The Benefits of Label-Description Training for Zero-Shot Text
  Classification

The Benefits of Label-Description Training for Zero-Shot Text Classification

3 May 2023
Lingyu Gao
Debanjan Ghosh
Kevin Gimpel
    VLM
ArXivPDFHTML

Papers citing "The Benefits of Label-Description Training for Zero-Shot Text Classification"

4 / 4 papers shown
Title
Beyond Prompting: Making Pre-trained Language Models Better Zero-shot
  Learners by Clustering Representations
Beyond Prompting: Making Pre-trained Language Models Better Zero-shot Learners by Clustering Representations
Yu Fei
Ping Nie
Zhao Meng
Roger Wattenhofer
Mrinmaya Sachan
VLM
35
20
0
29 Oct 2022
Fantastically Ordered Prompts and Where to Find Them: Overcoming
  Few-Shot Prompt Order Sensitivity
Fantastically Ordered Prompts and Where to Find Them: Overcoming Few-Shot Prompt Order Sensitivity
Yao Lu
Max Bartolo
Alastair Moore
Sebastian Riedel
Pontus Stenetorp
AILaw
LRM
277
1,114
0
18 Apr 2021
Description Based Text Classification with Reinforcement Learning
Description Based Text Classification with Reinforcement Learning
Duo Chai
Wei Yu Wu
Qinghong Han
Fei Wu
Jiwei Li
VLM
99
66
0
08 Feb 2020
Exploiting Cloze Questions for Few Shot Text Classification and Natural
  Language Inference
Exploiting Cloze Questions for Few Shot Text Classification and Natural Language Inference
Timo Schick
Hinrich Schütze
258
1,584
0
21 Jan 2020
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