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Unlearn Dataset Bias in Natural Language Inference by Fitting the
  Residual
v1v2 (latest)

Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
28 August 2019
He He
Sheng Zha
Haohan Wang
ArXiv (abs)PDFHTML

Papers citing "Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual"

50 / 119 papers shown
CURE: Controlled Unlearning for Robust Embeddings - Mitigating Conceptual Shortcuts in Pre-Trained Language Models
CURE: Controlled Unlearning for Robust Embeddings - Mitigating Conceptual Shortcuts in Pre-Trained Language Models
Aysenur Kocak
Shuo Yang
Bardh Prenkaj
Gjergji Kasneci
131
0
0
05 Sep 2025
Exploring Explanations Improves the Robustness of In-Context Learning
Exploring Explanations Improves the Robustness of In-Context LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2025
Ukyo Honda
Tatsushi Oka
LRM
322
0
0
03 Jun 2025
MiMu: Mitigating Multiple Shortcut Learning Behavior of Transformers
MiMu: Mitigating Multiple Shortcut Learning Behavior of Transformers
Lili Zhao
Qi Liu
Wei-neng Chen
Xiaoou Liu
R.-H. Sun
Min Hou
Yang Wang
Shijin Wang
496
2
0
14 Apr 2025
DBR: Divergence-Based Regularization for Debiasing Natural Language Understanding Models
DBR: Divergence-Based Regularization for Debiasing Natural Language Understanding ModelsSIGKDD Explorations (SIGKDD Explor.), 2025
Zihao Li
Ruixiang Tang
Lu Cheng
Shuaiqiang Wang
D. Yin
Jundong Li
421
0
0
25 Feb 2025
Task Calibration: Calibrating Large Language Models on Inference Tasks
Task Calibration: Calibrating Large Language Models on Inference Tasks
Yingjie Li
Yun Luo
Xiaotian Xie
Yue Zhang
LRM
282
2
0
24 Oct 2024
Improving Adversarial Robustness in Android Malware Detection by
  Reducing the Impact of Spurious Correlations
Improving Adversarial Robustness in Android Malware Detection by Reducing the Impact of Spurious Correlations
Hamid Bostani
Subrat Kishore Dutta
Veelasha Moonsamy
AAML
259
0
0
27 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
297
1
0
17 Jun 2024
Learning Shortcuts: On the Misleading Promise of NLU in Language Models
Learning Shortcuts: On the Misleading Promise of NLU in Language Models
Geetanjali Bihani
Julia Taylor Rayz
381
4
0
17 Jan 2024
Using Natural Language Explanations to Improve Robustness of In-context
  Learning
Using Natural Language Explanations to Improve Robustness of In-context LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Xuanli He
Yuxiang Wu
Oana-Maria Camburu
Pasquale Minervini
Pontus Stenetorp
AAML
302
1
0
13 Nov 2023
Group Robust Classification Without Any Group Information
Group Robust Classification Without Any Group InformationNeural Information Processing Systems (NeurIPS), 2023
Christos Tsirigotis
João Monteiro
Pau Rodríguez
David Vazquez
Aaron Courville
OOD
316
26
0
28 Oct 2023
GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models'
  Over-Reliance on Superficial Clue
GLS-CSC: A Simple but Effective Strategy to Mitigate Chinese STM Models' Over-Reliance on Superficial Clue
Yanrui Du
Sendong Zhao
Yuhan Chen
Rai Bai
Jing Liu
Huaqin Wu
Haifeng Wang
Bing Qin
255
2
0
08 Sep 2023
Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal
  Data
Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal Data
Xinzhe Li
Ming Liu
Shang Gao
MU
268
8
0
02 Jul 2023
Sociodemographic Bias in Language Models: A Survey and Forward Path
Sociodemographic Bias in Language Models: A Survey and Forward Path
Vipul Gupta
Pranav Narayanan Venkit
Shomir Wilson
R. Passonneau
557
35
0
13 Jun 2023
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis,
  and LLMs Evaluations
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs EvaluationsNeural Information Processing Systems (NeurIPS), 2023
Lifan Yuan
Yangyi Chen
Ganqu Cui
Hongcheng Gao
Fangyuan Zou
Xingyi Cheng
Heng Ji
Zhiyuan Liu
Maosong Sun
689
137
0
07 Jun 2023
A Simple yet Effective Self-Debiasing Framework for Transformer Models
A Simple yet Effective Self-Debiasing Framework for Transformer ModelsArtificial Intelligence (AIJ), 2023
Xiaoyue Wang
Lijie Wang
Xin Liu
Suhang Wu
Jinsong Su
Huasen Wu
216
5
0
02 Jun 2023
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE
From Shortcuts to Triggers: Backdoor Defense with Denoised PoENorth American Chapter of the Association for Computational Linguistics (NAACL), 2023
Qin Liu
Fei Wang
Chaowei Xiao
Muhao Chen
AAML
329
30
0
24 May 2023
Mitigating Backdoor Poisoning Attacks through the Lens of Spurious
  Correlation
Mitigating Backdoor Poisoning Attacks through the Lens of Spurious CorrelationConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Xuanli He
Xingliang Yuan
Jun Wang
Benjamin I. P. Rubinstein
Trevor Cohn
AAML
344
29
0
19 May 2023
Think Twice: Measuring the Efficiency of Eliminating Prediction
  Shortcuts of Question Answering Models
Think Twice: Measuring the Efficiency of Eliminating Prediction Shortcuts of Question Answering ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Lukávs Mikula
Michal vStefánik
Marek Petrovivc
Petr Sojka
246
6
0
11 May 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey
  and Taxonomy
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and TaxonomyIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023
T. Shaik
Xiaohui Tao
Haoran Xie
Lin Li
Xiaofeng Zhu
Qingyuan Li
MU
593
65
0
10 May 2023
A Domain-Region Based Evaluation of ML Performance Robustness to
  Covariate Shift
A Domain-Region Based Evaluation of ML Performance Robustness to Covariate Shift
Firas Bayram
Bestoun S. Ahmed
OOD
198
8
0
18 Apr 2023
SMoA: Sparse Mixture of Adapters to Mitigate Multiple Dataset Biases
SMoA: Sparse Mixture of Adapters to Mitigate Multiple Dataset Biases
Yanchen Liu
Jing Yang
Yan Chen
Jing Liu
Huaqin Wu
MoE
260
2
0
28 Feb 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias
Delving into Identify-Emphasize Paradigm for Combating Unknown BiasInternational Journal of Computer Vision (IJCV), 2023
Bowen Zhao
Chen Chen
Qian-Wei Wang
Anfeng He
Shutao Xia
226
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
N. Jethani
Ke Yu
Rajesh Ranganath
Kayhan Batmanghelich
AAML
336
14
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
259
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 SimilaritiesConference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Ali Modarressi
Hossein Amirkhani
Mohammad Taher Pilehvar
217
2
0
06 Feb 2023
Feature-Level Debiased Natural Language Understanding
Feature-Level Debiased Natural Language UnderstandingAAAI Conference on Artificial Intelligence (AAAI), 2022
Yougang Lyu
Piji Li
Yechang Yang
Maarten de Rijke
Sudipta Singha Roy
Yukun Zhao
D. Yin
Zhaochun Ren
285
12
0
11 Dec 2022
Switching to Discriminative Image Captioning by Relieving a Bottleneck
  of Reinforcement Learning
Switching to Discriminative Image Captioning by Relieving a Bottleneck of Reinforcement LearningIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2022
Ukyo Honda
Taro Watanabe
Yuji Matsumoto
275
13
0
06 Dec 2022
AGRO: Adversarial Discovery of Error-prone groups for Robust
  Optimization
AGRO: Adversarial Discovery of Error-prone groups for Robust OptimizationInternational Conference on Learning Representations (ICLR), 2022
Bhargavi Paranjape
Pradeep Dasigi
Vivek Srikumar
Luke Zettlemoyer
Hannaneh Hajishirzi
289
9
0
02 Dec 2022
AutoCAD: Automatically Generating Counterfactuals for Mitigating
  Shortcut Learning
AutoCAD: Automatically Generating Counterfactuals for Mitigating Shortcut LearningConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Jiaxin Wen
Yeshuang Zhu
Jinchao Zhang
Jie Zhou
Shiyu Huang
CMLAAML
327
9
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
196
4
0
23 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 InferenceConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
S. Rajaee
Yadollah Yaghoobzadeh
Mohammad Taher Pilehvar
215
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07 Nov 2022
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging
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XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Dong-Ho Lee
Akshen Kadakia
Brihi Joshi
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Takashi Shibuya
Ryosuke Mitani
Toshiyuki Sekiya
Jay Pujara
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LRM
251
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30 Oct 2022
Investigating Ensemble Methods for Model Robustness Improvement of Text
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Investigating Ensemble Methods for Model Robustness Improvement of Text ClassifiersConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Jieyu Zhao
Xuezhi Wang
Yao Qin
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Kai-Wei Chang
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207
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28 Oct 2022
Look to the Right: Mitigating Relative Position Bias in Extractive
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Look to the Right: Mitigating Relative Position Bias in Extractive Question AnsweringBlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP), 2022
Kazutoshi Shinoda
Saku Sugawara
Akiko Aizawa
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253
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0
26 Oct 2022
Are All Spurious Features in Natural Language Alike? An Analysis through
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Are All Spurious Features in Natural Language Alike? An Analysis through a Causal LensConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
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Hengxing He
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269
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25 Oct 2022
Lexical Generalization Improves with Larger Models and Longer Training
Lexical Generalization Improves with Larger Models and Longer TrainingConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Elron Bandel
Yoav Goldberg
Yanai Elazar
247
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23 Oct 2022
Finding Dataset Shortcuts with Grammar Induction
Finding Dataset Shortcuts with Grammar InductionConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Dan Friedman
Alexander Wettig
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297
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20 Oct 2022
A Survey of Parameters Associated with the Quality of Benchmarks in NLP
A Survey of Parameters Associated with the Quality of Benchmarks in NLP
Swaroop Mishra
Anjana Arunkumar
Chris Bryan
Chitta Baral
225
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14 Oct 2022
Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence
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Kernel-Whitening: Overcome Dataset Bias with Isotropic Sentence EmbeddingConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
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Jiajun Sun
Tao Gui
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181
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A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models
A Win-win Deal: Towards Sparse and Robust Pre-trained Language ModelsNeural Information Processing Systems (NeurIPS), 2022
Yuanxin Liu
Fandong Meng
Zheng Lin
JiangNan Li
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Yanan Cao
Weiping Wang
Jie Zhou
260
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11 Oct 2022
Learning Robust Representations for Continual Relation Extraction via
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Learning Robust Representations for Continual Relation Extraction via Adversarial Class AugmentationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
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Yifan Song
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197
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GAPX: Generalized Autoregressive Paraphrase-Identification X
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Renyu Li
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Less is Better: Recovering Intended-Feature Subspace to Robustify NLU
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Shortcut Learning of Large Language Models in Natural Language
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Fengxiang He
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Exploring Length Generalization in Large Language Models
Exploring Length Generalization in Large Language ModelsNeural Information Processing Systems (NeurIPS), 2022
Cem Anil
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Fighting Fire with Fire: Avoiding DNN Shortcuts through Priming
Fighting Fire with Fire: Avoiding DNN Shortcuts through PrimingInternational Conference on Machine Learning (ICML), 2022
Chuan Wen
Jianing Qian
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313
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Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating
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On the Paradox of Learning to Reason from Data
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472
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Robust Task-Oriented Dialogue Generation with Contrastive Pre-training
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Robust Task-Oriented Dialogue Generation with Contrastive Pre-training and Adversarial FilteringConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
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123
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