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Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of
  Language Models

Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models

15 February 2024
Kang He
Yinghan Long
Kaushik Roy
ArXivPDFHTML

Papers citing "Prompt-Based Bias Calibration for Better Zero/Few-Shot Learning of Language Models"

4 / 4 papers shown
Title
Prototypical Calibration for Few-shot Learning of Language Models
Prototypical Calibration for Few-shot Learning of Language Models
Zhixiong Han
Y. Hao
Li Dong
Yutao Sun
Furu Wei
157
52
0
20 May 2022
Debiasing Pre-trained Contextualised Embeddings
Debiasing Pre-trained Contextualised Embeddings
Masahiro Kaneko
Danushka Bollegala
210
121
0
23 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
241
1,898
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
251
1,382
0
21 Jan 2020
1