Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance

1 May 2020

Papers citing "Mind the Trade-off: Debiasing NLU Models without Degrading the In-distribution Performance"

50 / 50 papers shown

Title
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 82 0 0 17 Apr 2025
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
TACIT: A Target-Agnostic Feature Disentanglement Framework for Cross-Domain Text Classification Rui Song Fausto Giunchiglia Yingji Li Mingjie Tian Hao Xu OOD 70 3 0 25 Dec 2023
Mitigating Simplicity Bias in Deep Learning for Improved OOD Generalization and Robustness Bhavya Vasudeva Kameron Shahabi Vatsal Sharan 67 4 0 09 Oct 2023
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
Think Twice: Measuring the Efficiency of Eliminating Prediction Shortcuts of Question Answering Models Lukávs Mikula Michal vStefánik Marek Petrovivc Petr Sojka 70 4 0 11 May 2023
Debiasing Stance Detection Models with Counterfactual Reasoning and Adversarial Bias Learning Jianhua Yuan Yanyan Zhao Bing Qin 120 4 0 20 Dec 2022
Improving group robustness under noisy labels using predictive uncertainty Dongpin Oh Dae Lee Jeunghyun Byun Bonggun Shin UQCV 60 3 0 14 Dec 2022
Feature-Level Debiased Natural Language Understanding Yougang Lyu Piji Li Yechang Yang Maarten de Rijke Pengjie Ren Yukun Zhao Dawei Yin Zhaochun Ren 91 12 0 11 Dec 2022
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 34 3 0 23 Nov 2022
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
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models Dong-Ho Lee Akshen Kadakia Brihi Joshi Aaron Chan Ziyi Liu ... Takashi Shibuya Ryosuke Mitani Toshiyuki Sekiya Jay Pujara Xiang Ren LRM 79 9 0 30 Oct 2022
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 Songyang Gao Shihan Dou Qi Zhang Xuanjing Huang 43 8 0 14 Oct 2022
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models Yuanxin Liu Fandong Meng Zheng Lin JiangNan Li Peng Fu Yanan Cao Weiping Wang Jie Zhou 87 6 0 11 Oct 2022
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning Q. Si Yuanxin Liu Fandong Meng Zheng Lin Peng Fu Yanan Cao Weiping Wang Jie Zhou 88 24 0 10 Oct 2022
Less is Better: Recovering Intended-Feature Subspace to Robustify NLU Models Ting Wu Tao Gui 71 5 0 16 Sep 2022
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 Mengnan Du Fengxiang He Na Zou Dacheng Tao Helen Zhou KELM OffRL 134 90 0 25 Aug 2022
MENLI: Robust Evaluation Metrics from Natural Language Inference Yanran Chen Steffen Eger 107 18 0 15 Aug 2022
When Does Group Invariant Learning Survive Spurious Correlations? Yimeng Chen Ruibin Xiong Zhiming Ma Yanyan Lan OOD CML 90 22 0 29 Jun 2022
Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing Nan Xu Fei Wang Bangzheng Li Mingtao Dong Muhao Chen 85 21 0 25 May 2022
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets Yuxiang Wu Matt Gardner Pontus Stenetorp Pradeep Dasigi 95 68 0 24 Mar 2022
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 300 139 0 15 Dec 2021
Uncertainty Calibration for Ensemble-Based Debiasing Methods Ruibin Xiong Yimeng Chen Liang Pang Xueqi Chen Yanyan Lan 50 21 0 07 Nov 2021
Introspective Distillation for Robust Question Answering Yulei Niu Hanwang Zhang 94 60 0 01 Nov 2021
Training Dynamics for Text Summarization Models Tanya Goyal Jiacheng Xu Junjie Li Greg Durrett 135 32 0 15 Oct 2021
The Dangers of Underclaiming: Reasons for Caution When Reporting How NLP Systems Fail Sam Bowman OffRL 115 45 0 15 Oct 2021
CrossAug: A Contrastive Data Augmentation Method for Debiasing Fact Verification Models Minwoo Lee Seungpil Won Juae Kim Hwanhee Lee Cheoneum Park Kyomin Jung 103 30 0 30 Sep 2021
An Evaluation Dataset and Strategy for Building Robust Multi-turn Response Selection Model Kijong Han Seojin Lee Wooin Lee Joosung Lee Donghun Lee AAML 36 5 0 10 Sep 2021
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning Prasetya Ajie Utama N. Moosavi Victor Sanh Iryna Gurevych AAML 128 36 0 09 Sep 2021
Debiasing Methods in Natural Language Understanding Make Bias More Accessible Michael J. Mendelson Yonatan Belinkov 93 23 0 09 Sep 2021
End-to-End Self-Debiasing Framework for Robust NLU Training Abbas Ghaddar Philippe Langlais Mehdi Rezagholizadeh Ahmad Rashid UQCV 74 38 0 05 Sep 2021
A Survey on Automated Fact-Checking Zhijiang Guo Michael Schlichtkrull Andreas Vlachos 117 498 0 26 Aug 2021
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition Abbas Ghaddar Philippe Langlais Ahmad Rashid Mehdi Rezagholizadeh 124 44 0 24 Jul 2021
Robustifying Multi-hop QA through Pseudo-Evidentiality Training Kyungjae Lee Seung-won Hwang Sanghyun Han Dohyeon Lee OffRL 67 13 0 07 Jul 2021
Mitigating Biases in Toxic Language Detection through Invariant Rationalization Yung-Sung Chuang Mingye Gao Hongyin Luo James R. Glass Hung-yi Lee Yun-Nung Chen Shang-Wen Li 50 14 0 14 Jun 2021
Empowering Language Understanding with Counterfactual Reasoning Fuli Feng Jizhi Zhang Xiangnan He Hanwang Zhang Tat-Seng Chua LRM 77 34 0 06 Jun 2021
Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization Damien Teney Ehsan Abbasnejad Simon Lucey Anton Van Den Hengel 113 90 0 12 May 2021
Supervising Model Attention with Human Explanations for Robust Natural Language Inference Joe Stacey Yonatan Belinkov Marek Rei 75 47 0 16 Apr 2021
Regularization for Long Named Entity Recognition Minbyul Jeong Jaewoo Kang 89 4 0 15 Apr 2021
Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence Tal Schuster Adam Fisch Regina Barzilay 114 239 0 15 Mar 2021
Towards Interpreting and Mitigating Shortcut Learning Behavior of NLU Models Mengnan Du Varun Manjunatha R. Jain Ruchi Deshpande Franck Dernoncourt Jiuxiang Gu Tong Sun Helen Zhou 108 107 0 11 Mar 2021
Challenges in Automated Debiasing for Toxic Language Detection Xuhui Zhou Maarten Sap Swabha Swayamdipta Noah A. Smith Yejin Choi 78 142 0 29 Jan 2021
How Do Your Biomedical Named Entity Recognition Models Generalize to Novel Entities? Hyunjae Kim Jaewoo Kang AI4CE 155 21 0 01 Jan 2021
Improving Robustness by Augmenting Training Sentences with Predicate-Argument Structures N. Moosavi M. Boer Prasetya Ajie Utama Iryna Gurevych 82 13 0 23 Oct 2020
An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference Tianyu Liu Xin Zheng Xiaoan Ding Baobao Chang Zhifang Sui 73 25 0 08 Oct 2020
Improving QA Generalization by Concurrent Modeling of Multiple Biases Mingzhu Wu N. Moosavi Andreas Rucklé Iryna Gurevych AI4CE 72 17 0 07 Oct 2020
Towards Debiasing NLU Models from Unknown Biases Prasetya Ajie Utama N. Moosavi Iryna Gurevych 119 155 0 25 Sep 2020
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models Lifu Tu Garima Lalwani Spandana Gella He He LRM 119 187 0 14 Jul 2020