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Learning from others' mistakes: Avoiding dataset biases without modeling
  them

Learning from others' mistakes: Avoiding dataset biases without modeling them

2 December 2020
Victor Sanh
Thomas Wolf
Yonatan Belinkov
Alexander M. Rush
ArXiv (abs)PDFHTML

Papers citing "Learning from others' mistakes: Avoiding dataset biases without modeling them"

50 / 75 papers shown
Title
How to Improve the Robustness of Closed-Source Models on NLI
How to Improve the Robustness of Closed-Source Models on NLI
Joe Stacey
Lisa Alazraki
Aran Ubhi
Beyza Ermis
Aaron Mueller
Marek Rei
42
0
0
26 May 2025
Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models
Information Gain-Guided Causal Intervention for Autonomous Debiasing Large Language Models
Zhouhao Sun
Xiao Ding
Li Du
Yunpeng Xu
Yixuan Ma
Yang Zhao
Bing Qin
Ting Liu
88
0
0
17 Apr 2025
MiMu: Mitigating Multiple Shortcut Learning Behavior of Transformers
MiMu: Mitigating Multiple Shortcut Learning Behavior of Transformers
Lili Zhao
Qi Liu
Wei-neng Chen
Lu Chen
R.-H. Sun
Min Hou
Yang Wang
Shijin Wang
142
0
0
14 Apr 2025
EqualizeIR: Mitigating Linguistic Biases in Retrieval Models
EqualizeIR: Mitigating Linguistic Biases in Retrieval Models
Jiali Cheng
Hadi Amiri
90
1
0
22 Mar 2025
DBR: Divergence-Based Regularization for Debiasing Natural Language Understanding Models
DBR: Divergence-Based Regularization for Debiasing Natural Language Understanding Models
Zihao Li
Ruixiang Tang
Lu Cheng
Shuaiqiang Wang
D. Yin
Jundong Li
152
0
0
25 Feb 2025
Shortcut Learning in In-Context Learning: A Survey
Shortcut Learning in In-Context Learning: A Survey
Rui Song
Yingji Li
Fausto Giunchiglia
Fausto Giunchiglia
Hao Xu
126
3
0
04 Nov 2024
Towards Robust Extractive Question Answering Models: Rethinking the
  Training Methodology
Towards Robust Extractive Question Answering Models: Rethinking the Training Methodology
Son Quoc Tran
Matt Kretchmar
OOD
43
0
0
29 Sep 2024
MABR: Multilayer Adversarial Bias Removal Without Prior Bias Knowledge
MABR: Multilayer Adversarial Bias Removal Without Prior Bias Knowledge
Maxwell J. Yin
Boyu Wang
Charles Ling
83
0
0
10 Aug 2024
Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to
  Address Shortcut Shifts in Natural Language Understanding
Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding
Ukyo Honda
Tatsushi Oka
Peinan Zhang
Masato Mita
90
1
0
17 Jun 2024
Conditional Language Learning with Context
Conditional Language Learning with Context
X. Zhang
Miao Li
Ji Wu
96
4
0
04 Jun 2024
Explanation based Bias Decoupling Regularization for Natural Language
  Inference
Explanation based Bias Decoupling Regularization for Natural Language Inference
Jianxiang Zang
Hui Liu
64
1
0
20 Apr 2024
Learning Decomposable and Debiased Representations via Attribute-Centric
  Information Bottlenecks
Learning Decomposable and Debiased Representations via Attribute-Centric Information Bottlenecks
Jinyung Hong
Eunyeong Jeon
Changhoon Kim
Keun Hee Park
Utkarsh Nath
Yezhou Yang
Pavan Turaga
Theodore P. Pavlic
CML
93
0
0
21 Mar 2024
Analyzing the Evaluation of Cross-Lingual Knowledge Transfer in
  Multilingual Language Models
Analyzing the Evaluation of Cross-Lingual Knowledge Transfer in Multilingual Language Models
Sara Rajaee
Christof Monz
80
4
0
03 Feb 2024
Improving Bias Mitigation through Bias Experts in Natural Language
  Understanding
Improving Bias Mitigation through Bias Experts in Natural Language Understanding
Eojin Jeon
Mingyu Lee
Juhyeong Park
Yeachan Kim
Wing-Lam Mok
SangKeun Lee
44
2
0
06 Dec 2023
IBADR: an Iterative Bias-Aware Dataset Refinement Framework for
  Debiasing NLU models
IBADR: an Iterative Bias-Aware Dataset Refinement Framework for Debiasing NLU models
Xiaoyue Wang
Xin Liu
Lijie Wang
Yaoxiang Wang
Jinsong Su
Hua Wu
74
2
0
01 Nov 2023
Mitigating Bias for Question Answering Models by Tracking Bias Influence
Mitigating Bias for Question Answering Models by Tracking Bias Influence
Mingyu Derek Ma
Jiun-Yu Kao
Arpit Gupta
Yu-Hsiang Lin
Wenbo Zhao
Tagyoung Chung
Wei Wang
Kai-Wei Chang
Nanyun Peng
74
4
0
13 Oct 2023
FTFT: Efficient and Robust Fine-Tuning by Transferring Training Dynamics
FTFT: Efficient and Robust Fine-Tuning by Transferring Training Dynamics
Yupei Du
Albert Gatt
Dong Nguyen
71
1
0
10 Oct 2023
Learning to Diversify Neural Text Generation via Degenerative Model
Learning to Diversify Neural Text Generation via Degenerative Model
Jimin Hong
Yujin Baek
Jaegul Choo
71
1
0
22 Sep 2023
Mitigating Shortcuts in Language Models with Soft Label Encoding
Mitigating Shortcuts in Language Models with Soft Label Encoding
Zirui He
Huiqi Deng
Haiyan Zhao
Ninghao Liu
Jundong Li
64
2
0
17 Sep 2023
A Simple yet Effective Self-Debiasing Framework for Transformer Models
A Simple yet Effective Self-Debiasing Framework for Transformer Models
Xiaoyue Wang
Lijie Wang
Xin Liu
Suhang Wu
Jinsong Su
Huasen Wu
68
4
0
02 Jun 2023
Fighting Bias with Bias: Promoting Model Robustness by Amplifying
  Dataset Biases
Fighting Bias with Bias: Promoting Model Robustness by Amplifying Dataset Biases
Yuval Reif
Roy Schwartz
78
7
0
30 May 2023
Robust Natural Language Understanding with Residual Attention Debiasing
Robust Natural Language Understanding with Residual Attention Debiasing
Fei Wang
James Y. Huang
Tianyi Yan
Wenxuan Zhou
Muhao Chen
69
11
0
28 May 2023
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE
Qin Liu
Fei Wang
Chaowei Xiao
Muhao Chen
AAML
108
23
0
24 May 2023
Distilling Robustness into Natural Language Inference Models with
  Domain-Targeted Augmentation
Distilling Robustness into Natural Language Inference Models with Domain-Targeted Augmentation
Joe Stacey
Marek Rei
57
3
0
22 May 2023
Explanation-based Finetuning Makes Models More Robust to Spurious Cues
Explanation-based Finetuning Makes Models More Robust to Spurious Cues
Josh Magnus Ludan
Yixuan Meng
Nguyen Tai
Saurabh Shah
Qing Lyu
Marianna Apidianaki
Chris Callison-Burch
AAMLLRM
109
21
0
08 May 2023
CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing
CausalAPM: Generalizable Literal Disentanglement for NLU Debiasing
Songyang Gao
Shihan Dou
Junjie Shan
Qi Zhang
Xuanjing Huang
CML
60
0
0
04 May 2023
Implicit Visual Bias Mitigation by Posterior Estimate Sharpening of a Bayesian Neural Network
Rebecca S Stone
Nishant Ravikumar
A. Bulpitt
David C. Hogg
BDL
72
0
0
29 Mar 2023
Contrastive variational information bottleneck for aspect-based
  sentiment analysis
Contrastive variational information bottleneck for aspect-based sentiment analysis
Ming-Wei Chang
Min Yang
Qingshan Jiang
Ruifeng Xu
85
4
0
06 Mar 2023
UnbiasedNets: A Dataset Diversification Framework for Robustness Bias
  Alleviation in Neural Networks
UnbiasedNets: A Dataset Diversification Framework for Robustness Bias Alleviation in Neural Networks
Mahum Naseer
B. Prabakaran
Osman Hasan
Mohamed Bennai
88
9
0
24 Feb 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias
Bowen Zhao
Chen Chen
Qian-Wei Wang
Anfeng He
Shutao Xia
94
1
0
22 Feb 2023
Beyond Distribution Shift: Spurious Features Through the Lens of
  Training Dynamics
Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics
Nihal Murali
A. Puli
Ke Yu
Rajesh Ranganath
Kayhan Batmanghelich
AAML
84
10
0
18 Feb 2023
Pushing the Accuracy-Group Robustness Frontier with Introspective
  Self-play
Pushing the Accuracy-Group Robustness Frontier with Introspective Self-play
J. Liu
Krishnamurthy Dvijotham
Jihyeon Janel Lee
Quan Yuan
Martin Strobel
Balaji Lakshminarayanan
Deepak Ramachandran
75
5
0
11 Feb 2023
Guide the Learner: Controlling Product of Experts Debiasing Method Based
  on Token Attribution Similarities
Guide the Learner: Controlling Product of Experts Debiasing Method Based on Token Attribution Similarities
Ali Modarressi
Hossein Amirkhani
Mohammad Taher Pilehvar
48
2
0
06 Feb 2023
Feature-Level Debiased Natural Language Understanding
Feature-Level Debiased Natural Language Understanding
Yougang Lyu
Piji Li
Yechang Yang
Maarten de Rijke
Pengjie Ren
Yukun Zhao
D. Yin
Zhaochun Ren
91
12
0
11 Dec 2022
AGRO: Adversarial Discovery of Error-prone groups for Robust
  Optimization
AGRO: Adversarial Discovery of Error-prone groups for Robust Optimization
Bhargavi Paranjape
Pradeep Dasigi
Vivek Srikumar
Luke Zettlemoyer
Hannaneh Hajishirzi
98
8
0
02 Dec 2022
Soft Alignment Objectives for Robust Adaptation of Language Generation
Soft Alignment Objectives for Robust Adaptation of Language Generation
Michal vStefánik
Marek Kadlcík
Petr Sojka
79
2
0
29 Nov 2022
Using Focal Loss to Fight Shallow Heuristics: An Empirical Analysis of
  Modulated Cross-Entropy in Natural Language Inference
Using Focal Loss to Fight Shallow Heuristics: An Empirical Analysis of Modulated Cross-Entropy in Natural Language Inference
Frano Rajic
Ivan Stresec
Axel Marmet
Tim Postuvan
43
3
0
23 Nov 2022
Bridging Fairness and Environmental Sustainability in Natural Language
  Processing
Bridging Fairness and Environmental Sustainability in Natural Language Processing
Marius Hessenthaler
Emma Strubell
Dirk Hovy
Anne Lauscher
92
8
0
08 Nov 2022
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in
  Natural Language Inference
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference
S. Rajaee
Yadollah Yaghoobzadeh
Mohammad Taher Pilehvar
73
5
0
07 Nov 2022
SelecMix: Debiased Learning by Contradicting-pair Sampling
SelecMix: Debiased Learning by Contradicting-pair Sampling
Inwoo Hwang
Sangjun Lee
Yunhyeok Kwak
Seong Joon Oh
Damien Teney
Jin-Hwa Kim
Byoung-Tak Zhang
OOD
410
30
0
04 Nov 2022
Debiasing Masks: A New Framework for Shortcut Mitigation in NLU
Debiasing Masks: A New Framework for Shortcut Mitigation in NLU
Johannes Mario Meissner
Saku Sugawara
Akiko Aizawa
AAML
61
16
0
28 Oct 2022
Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence
  Embedding
Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence Embedding
Songyang Gao
Shihan Dou
Qi Zhang
Xuanjing Huang
43
8
0
14 Oct 2022
Less is Better: Recovering Intended-Feature Subspace to Robustify NLU
  Models
Less is Better: Recovering Intended-Feature Subspace to Robustify NLU Models
Ting Wu
Tao Gui
74
5
0
16 Sep 2022
A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine
  Reading Comprehension
A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine Reading Comprehension
Xanh Ho
Johannes Mario Meissner
Saku Sugawara
Akiko Aizawa
OffRL
92
4
0
05 Sep 2022
Shortcut Learning of Large Language Models in Natural Language
  Understanding
Shortcut Learning of Large Language Models in Natural Language Understanding
Mengnan Du
Fengxiang He
Na Zou
Dacheng Tao
Helen Zhou
KELMOffRL
138
90
0
25 Aug 2022
Distilling Model Failures as Directions in Latent Space
Distilling Model Failures as Directions in Latent Space
Saachi Jain
Hannah Lawrence
Ankur Moitra
Aleksander Madry
97
90
0
29 Jun 2022
Methods for Estimating and Improving Robustness of Language Models
Methods for Estimating and Improving Robustness of Language Models
Michal Stefánik
57
3
0
16 Jun 2022
Causal Balancing for Domain Generalization
Causal Balancing for Domain Generalization
Xinyi Wang
Michael Stephen Saxon
Jiachen Li
Hongyang R. Zhang
Kun Zhang
William Yang Wang
OODCML
113
23
0
10 Jun 2022
Improving Evaluation of Debiasing in Image Classification
Improving Evaluation of Debiasing in Image Classification
Jungsoo Lee
Juyoung Lee
Sanghun Jung
Jaegul Choo
70
0
0
08 Jun 2022
Robust Task-Oriented Dialogue Generation with Contrastive Pre-training
  and Adversarial Filtering
Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial Filtering
Shiquan Yang
Xinting Huang
Jey Han Lau
S. Erfani
88
5
0
20 May 2022
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