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Explanation based Bias Decoupling Regularization for Natural Language
  Inference

Explanation based Bias Decoupling Regularization for Natural Language Inference

20 April 2024
Jianxiang Zang
Hui Liu
ArXivPDFHTML

Papers citing "Explanation based Bias Decoupling Regularization for Natural Language Inference"

11 / 11 papers shown
Title
Supervising Model Attention with Human Explanations for Robust Natural
  Language Inference
Supervising Model Attention with Human Explanations for Robust Natural Language Inference
Joe Stacey
Yonatan Belinkov
Marek Rei
35
45
0
16 Apr 2021
Learning from others' mistakes: Avoiding dataset biases without modeling
  them
Learning from others' mistakes: Avoiding dataset biases without modeling them
Victor Sanh
Thomas Wolf
Yonatan Belinkov
Alexander M. Rush
30
116
0
02 Dec 2020
Evaluating Explanations: How much do explanations from the teacher aid
  students?
Evaluating Explanations: How much do explanations from the teacher aid students?
Danish Pruthi
Rachit Bansal
Bhuwan Dhingra
Livio Baldini Soares
Michael Collins
Zachary Chase Lipton
Graham Neubig
William W. Cohen
FAtt
XAI
35
109
0
01 Dec 2020
An Empirical Study on Robustness to Spurious Correlations using
  Pre-trained Language Models
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models
Lifu Tu
Garima Lalwani
Spandana Gella
He He
LRM
51
185
0
14 Jul 2020
Adversarial NLI: A New Benchmark for Natural Language Understanding
Adversarial NLI: A New Benchmark for Natural Language Understanding
Yixin Nie
Adina Williams
Emily Dinan
Joey Tianyi Zhou
Jason Weston
Douwe Kiela
84
991
0
31 Oct 2019
ALBERT: A Lite BERT for Self-supervised Learning of Language
  Representations
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Zhenzhong Lan
Mingda Chen
Sebastian Goodman
Kevin Gimpel
Piyush Sharma
Radu Soricut
SSL
AIMat
242
6,420
0
26 Sep 2019
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known
  Dataset Biases
Don't Take the Easy Way Out: Ensemble Based Methods for Avoiding Known Dataset Biases
Christopher Clark
Mark Yatskar
Luke Zettlemoyer
OOD
51
463
0
09 Sep 2019
RoBERTa: A Robustly Optimized BERT Pretraining Approach
RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu
Myle Ott
Naman Goyal
Jingfei Du
Mandar Joshi
Danqi Chen
Omer Levy
M. Lewis
Luke Zettlemoyer
Veselin Stoyanov
AIMat
348
24,160
0
26 Jul 2019
e-SNLI: Natural Language Inference with Natural Language Explanations
e-SNLI: Natural Language Inference with Natural Language Explanations
Oana-Maria Camburu
Tim Rocktaschel
Thomas Lukasiewicz
Phil Blunsom
LRM
357
634
0
04 Dec 2018
Annotation Artifacts in Natural Language Inference Data
Annotation Artifacts in Natural Language Inference Data
Suchin Gururangan
Swabha Swayamdipta
Omer Levy
Roy Schwartz
Samuel R. Bowman
Noah A. Smith
80
1,167
0
06 Mar 2018
A Broad-Coverage Challenge Corpus for Sentence Understanding through
  Inference
A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Adina Williams
Nikita Nangia
Samuel R. Bowman
337
4,444
0
18 Apr 2017
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