Unlearn Dataset Bias in Natural Language Inference by Fitting the Residual

28 August 2019

Sheng Zha

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

50 / 53 papers shown

Title
Task Calibration: Calibrating Large Language Models on Inference Tasks Yingjie Li Yun Luo Xiaotian Xie Yue Zhang LRM 18 0 0 24 Oct 2024
Learning Shortcuts: On the Misleading Promise of NLU in Language Models Geetanjali Bihani Julia Taylor Rayz 33 3 0 17 Jan 2024
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 45 2 0 08 Sep 2023
Make Text Unlearnable: Exploiting Effective Patterns to Protect Personal Data Xinzhe Li Ming Liu Shang Gao MU 27 8 0 02 Jul 2023
Revisiting Out-of-distribution Robustness in NLP: Benchmark, Analysis, and LLMs Evaluations Lifan Yuan Yangyi Chen Ganqu Cui Hongcheng Gao Fangyuan Zou Xingyi Cheng Heng Ji Zhiyuan Liu Maosong Sun 39 73 0 07 Jun 2023
From Shortcuts to Triggers: Backdoor Defense with Denoised PoE Qin Liu Fei Wang Chaowei Xiao Muhao Chen AAML 37 21 0 24 May 2023
Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis Oscar Chew Hsuan-Tien Lin Kai-Wei Chang Kuan-Hao Huang 34 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 32 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 33 3 0 11 May 2023
SMoA: Sparse Mixture of Adapters to Mitigate Multiple Dataset Biases Yanchen Liu Jing Yang Yan Chen Jing Liu Huaqin Wu MoE 47 2 0 28 Feb 2023
Delving into Identify-Emphasize Paradigm for Combating Unknown Bias Bowen Zhao Chen Chen Qian-Wei Wang Anfeng He Shutao Xia 29 1 0 22 Feb 2023
Beyond Distribution Shift: Spurious Features Through the Lens of Training Dynamics Nihal Murali A. Puli Ke Yu Rajesh Ranganath Kayhan Batmanghelich AAML 40 8 0 18 Feb 2023
Guide the Learner: Controlling Product of Experts Debiasing Method Based on Token Attribution Similarities Ali Modarressi Hossein Amirkhani Mohammad Taher Pilehvar 26 2 0 06 Feb 2023
Feature-Level Debiased Natural Language Understanding Yougang Lyu Piji Li Yechang Yang Maarten de Rijke Pengjie Ren Yukun Zhao Dawei Yin Z. Ren 32 10 0 11 Dec 2022
AutoCAD: Automatically Generating Counterfactuals for Mitigating Shortcut Learning Jiaxin Wen Yeshuang Zhu Jinchao Zhang Jie Zhou Minlie Huang CML AAML 22 8 0 29 Nov 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
Finding Dataset Shortcuts with Grammar Induction Dan Friedman Alexander Wettig Danqi Chen 25 14 0 20 Oct 2022
GAPX: Generalized Autoregressive Paraphrase-Identification X Yi Zhou Renyu Li Hayden Housen Ser-Nam Lim BDL 27 0 0 05 Oct 2022
Shortcut Learning of Large Language Models in Natural Language Understanding Mengnan Du Fengxiang He Na Zou Dacheng Tao Xia Hu KELM OffRL 31 84 0 25 Aug 2022
Exploring Length Generalization in Large Language Models Cem Anil Yuhuai Wu Anders Andreassen Aitor Lewkowycz Vedant Misra V. Ramasesh Ambrose Slone Guy Gur-Ari Ethan Dyer Behnam Neyshabur ReLM LRM 33 158 0 11 Jul 2022
Distilling Model Failures as Directions in Latent Space Saachi Jain Hannah Lawrence Ankur Moitra A. Madry 23 90 0 29 Jun 2022
Learning to Split for Automatic Bias Detection Yujia Bao Regina Barzilay 17 20 0 28 Apr 2022
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets Yuxiang Wu Matt Gardner Pontus Stenetorp Pradeep Dasigi 28 67 0 24 Mar 2022
Unveiling Project-Specific Bias in Neural Code Models Zhiming Li Yanzhou Li Tianlin Li Mengnan Du Bozhi Wu Yushi Cao Yi Li Yang Liu 31 5 0 19 Jan 2022
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 139 130 0 15 Dec 2021
Toward Learning Human-aligned Cross-domain Robust Models by Countering Misaligned Features Haohan Wang Zeyi Huang Hanlin Zhang Yong Jae Lee Eric P. Xing OOD 132 16 0 05 Nov 2021
Identifying and Mitigating Spurious Correlations for Improving Robustness in NLP Models Tianlu Wang Rohit Sridhar Diyi Yang Xuezhi Wang AAML 120 72 0 14 Oct 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 61 35 0 09 Sep 2021
Debiasing Methods in Natural Language Understanding Make Bias More Accessible Michael J. Mendelson Yonatan Belinkov 40 23 0 09 Sep 2021
End-to-End Self-Debiasing Framework for Robust NLU Training Abbas Ghaddar Philippe Langlais Mehdi Rezagholizadeh Ahmad Rashid UQCV 31 36 0 05 Sep 2021
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition Abbas Ghaddar Philippe Langlais Ahmad Rashid Mehdi Rezagholizadeh 39 42 0 24 Jul 2021
An Investigation of the (In)effectiveness of Counterfactually Augmented Data Nitish Joshi He He OODD 19 46 0 01 Jul 2021
Learning Stable Classifiers by Transferring Unstable Features Yujia Bao Shiyu Chang Regina Barzilay OOD 27 8 0 15 Jun 2021
Evaluating Gender Bias in Natural Language Inference Shanya Sharma Manan Dey Koustuv Sinha 22 41 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
SILT: Efficient transformer training for inter-lingual inference Javier Huertas-Tato Alejandro Martín David Camacho 24 11 0 17 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 57 105 0 11 Mar 2021
How Do Your Biomedical Named Entity Recognition Models Generalize to Novel Entities? Hyunjae Kim Jaewoo Kang AI4CE 84 21 0 01 Jan 2021
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles Christopher Clark Mark Yatskar Luke Zettlemoyer 18 61 0 07 Nov 2020
Posterior Differential Regularization with f-divergence for Improving Model Robustness Hao Cheng Xiaodong Liu L. Pereira Yaoliang Yu Jianfeng Gao 248 31 0 23 Oct 2020
Improving Robustness by Augmenting Training Sentences with Predicate-Argument Structures N. Moosavi M. Boer Prasetya Ajie Utama Iryna Gurevych 19 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 42 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 19 184 0 14 Jul 2020
DQI: Measuring Data Quality in NLP Swaroop Mishra Anjana Arunkumar Bhavdeep Singh Sachdeva Chris Bryan Chitta Baral 36 30 0 02 May 2020
Syntactic Data Augmentation Increases Robustness to Inference Heuristics Junghyun Min R. Thomas McCoy Dipanjan Das Emily Pitler Tal Linzen 30 175 0 24 Apr 2020
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference Tianyu Liu Xin Zheng Baobao Chang Zhifang Sui 43 23 0 05 Mar 2020
Adversarial Filters of Dataset Biases Ronan Le Bras Swabha Swayamdipta Chandra Bhagavatula Rowan Zellers Matthew E. Peters Ashish Sabharwal Yejin Choi 36 220 0 10 Feb 2020
Stance Detection Benchmark: How Robust Is Your Stance Detection? Benjamin Schiller Johannes Daxenberger Iryna Gurevych 11 95 0 06 Jan 2020