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CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact
  Verification Models

CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models

30 September 2021
Minwoo Lee
Seungpil Won
Juae Kim
Hwanhee Lee
Cheoneum Park
Kyomin Jung
ArXivPDFHTML

Papers citing "CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models"

3 / 3 papers shown
Title
Out-of-distribution Evidence-aware Fake News Detection via Dual
  Adversarial Debiasing
Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing
Qiang Liu
Jun Wu
Shu Wu
Liang Wang
OODD
CML
25
11
0
25 Apr 2023
Generating Data to Mitigate Spurious Correlations in Natural Language
  Inference Datasets
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets
Yuxiang Wu
Matt Gardner
Pontus Stenetorp
Pradeep Dasigi
26
67
0
24 Mar 2022
Are We Modeling the Task or the Annotator? An Investigation of Annotator
  Bias in Natural Language Understanding Datasets
Are We Modeling the Task or the Annotator? An Investigation of Annotator Bias in Natural Language Understanding Datasets
Mor Geva
Yoav Goldberg
Jonathan Berant
242
320
0
21 Aug 2019
1