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

2 December 2020

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 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 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 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 Jiali Cheng Hadi Amiri 90 1 0 22 Mar 2025
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 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 Son Quoc Tran Matt Kretchmar OOD 43 0 0 29 Sep 2024
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 Ukyo Honda Tatsushi Oka Peinan Zhang Masato Mita 90 1 0 17 Jun 2024
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 Jianxiang Zang Hui Liu 64 1 0 20 Apr 2024
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 Sara Rajaee Christof Monz 80 4 0 03 Feb 2024
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 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 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 Yupei Du Albert Gatt Dong Nguyen 71 1 0 10 Oct 2023
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 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 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 Yuval Reif Roy Schwartz 78 7 0 30 May 2023
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 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 Joe Stacey Marek Rei 57 3 0 22 May 2023
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 AAML LRM 109 21 0 08 May 2023
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 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 Mahum Naseer B. Prabakaran Osman Hasan Mohamed Bennai 88 9 0 24 Feb 2023
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 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 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 Ali Modarressi Hossein Amirkhani Mohammad Taher Pilehvar 48 2 0 06 Feb 2023
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 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 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 Frano Rajic Ivan Stresec Axel Marmet Tim Postuvan 43 3 0 23 Nov 2022
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 S. Rajaee Yadollah Yaghoobzadeh Mohammad Taher Pilehvar 73 5 0 07 Nov 2022
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 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
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 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 138 90 0 25 Aug 2022
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 Michal Stefánik 57 3 0 16 Jun 2022
Causal Balancing for Domain Generalization Xinyi Wang Michael Stephen Saxon Jiachen Li Hongyang R. Zhang Kun Zhang William Yang Wang OOD CML 113 23 0 10 Jun 2022
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 Shiquan Yang Xinting Huang Jey Han Lau S. Erfani 88 5 0 20 May 2022