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A Novel Prompt-tuning Method: Incorporating Scenario-specific Concepts
  into a Verbalizer

A Novel Prompt-tuning Method: Incorporating Scenario-specific Concepts into a Verbalizer

10 January 2024
Yong Ma
Senlin Luo
Yu-Ming Shang
Zhengjun Li
Yong Liu
    VLM
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Papers citing "A Novel Prompt-tuning Method: Incorporating Scenario-specific Concepts into a Verbalizer"

4 / 4 papers shown
Title
WARP: Word-level Adversarial ReProgramming
WARP: Word-level Adversarial ReProgramming
Karen Hambardzumyan
Hrant Khachatrian
Jonathan May
AAML
254
342
0
01 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
243
1,919
0
31 Dec 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
1,589
0
21 Jan 2020
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
417
2,588
0
03 Sep 2019
1