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"

35 / 35 papers shown

Title
Learning Shortcuts: On the Misleading Promise of NLU in Language Models Geetanjali Bihani Julia Taylor Rayz 33 3 0 17 Jan 2024
FTFT: Efficient and Robust Fine-Tuning by Transferring Training Dynamics Yupei Du Albert Gatt Dong Nguyen 31 1 0 10 Oct 2023
Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis Oscar Chew Hsuan-Tien Lin Kai-Wei Chang Kuan-Hao Huang 40 5 0 23 May 2023
Mitigating Backdoor Poisoning Attacks through the Lens of Spurious Correlation Xuanli He Qiongkai Xu Jun Wang Benjamin I. P. Rubinstein Trevor Cohn AAML 37 18 0 19 May 2023
Think Twice: Measuring the Efficiency of Eliminating Prediction Shortcuts of Question Answering Models Lukávs Mikula Michal vStefánik Marek Petrovivc Petr Sojka 41 3 0 11 May 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias Bowen Zhao Chen Chen Qian-Wei Wang Anfeng He Shutao Xia 47 1 0 22 Feb 2023
Debiasing Stance Detection Models with Counterfactual Reasoning and Adversarial Bias Learning Jianhua Yuan Yanyan Zhao Bing Qin 52 4 0 20 Dec 2022
Improving group robustness under noisy labels using predictive uncertainty Dongpin Oh Dae Lee Jeunghyun Byun Bonggun Shin UQCV 25 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 34 10 0 11 Dec 2022
Looking at the Overlooked: An Analysis on the Word-Overlap Bias in Natural Language Inference S. Rajaee Yadollah Yaghoobzadeh Mohammad Taher Pilehvar 36 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 40 9 0 30 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 42 23 0 10 Oct 2022
A Survey on Measuring and Mitigating Reasoning Shortcuts in Machine Reading Comprehension Xanh Ho Johannes Mario Meissner Saku Sugawara Akiko Aizawa OffRL 42 4 0 05 Sep 2022
Shortcut Learning of Large Language Models in Natural Language Understanding Mengnan Du Fengxiang He Na Zou Dacheng Tao Xia Hu KELM OffRL 44 84 0 25 Aug 2022
When Does Group Invariant Learning Survive Spurious Correlations? Yimeng Chen Ruibin Xiong Zhiming Ma Yanyan Lan OOD CML 40 21 0 29 Jun 2022
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets Yuxiang Wu Matt Gardner Pontus Stenetorp Pradeep Dasigi 39 67 0 24 Mar 2022
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 139 131 0 15 Dec 2021
Introspective Distillation for Robust Question Answering Yulei Niu Hanwang Zhang 27 59 0 01 Nov 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 25 5 0 10 Sep 2021
Avoiding Inference Heuristics in Few-shot Prompt-based Finetuning Prasetya Ajie Utama N. Moosavi Victor Sanh Iryna Gurevych AAML 66 35 0 09 Sep 2021
Debiasing Methods in Natural Language Understanding Make Bias More Accessible Michael J. Mendelson Yonatan Belinkov 45 23 0 09 Sep 2021
End-to-End Self-Debiasing Framework for Robust NLU Training Abbas Ghaddar Philippe Langlais Mehdi Rezagholizadeh Ahmad Rashid UQCV 34 36 0 05 Sep 2021
A Survey on Automated Fact-Checking Zhijiang Guo M. Schlichtkrull Andreas Vlachos 29 460 0 26 Aug 2021
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition Abbas Ghaddar Philippe Langlais Ahmad Rashid Mehdi Rezagholizadeh 39 43 0 24 Jul 2021
Empowering Language Understanding with Counterfactual Reasoning Fuli Feng Jizhi Zhang Xiangnan He Hanwang Zhang Tat-Seng Chua LRM 21 33 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 51 87 0 12 May 2021
Supervising Model Attention with Human Explanations for Robust Natural Language Inference Joe Stacey Yonatan Belinkov Marek Rei 30 45 0 16 Apr 2021
Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence Tal Schuster Adam Fisch Regina Barzilay 39 228 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 Xia Hu 62 106 0 11 Mar 2021
How Do Your Biomedical Named Entity Recognition Models Generalize to Novel Entities? Hyunjae Kim Jaewoo Kang AI4CE 94 21 0 01 Jan 2021
Improving Robustness by Augmenting Training Sentences with Predicate-Argument Structures N. Moosavi M. Boer Prasetya Ajie Utama Iryna Gurevych 27 13 0 23 Oct 2020
Counterfactual Variable Control for Robust and Interpretable Question Answering S. Yu Yulei Niu Shuohang Wang Jing Jiang Qianru Sun AAML OOD 44 9 0 12 Oct 2020
An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models Lifu Tu Garima Lalwani Spandana Gella He He LRM 33 184 0 14 Jul 2020
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 194 576 0 02 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 304 7,005 0 20 Apr 2018