End-to-End Bias Mitigation by Modelling Biases in Corpora

13 September 2019

Papers citing "End-to-End Bias Mitigation by Modelling Biases in Corpora"

50 / 50 papers shown

Title
Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasks Jing Yang Max Glockner Anderson de Rezende Rocha Iryna Gurevych LRM 73 1 0 07 Feb 2025
Focus On This, Not That! Steering LLMs With Adaptive Feature Specification Tom A. Lamb Adam Davies Alasdair Paren Philip H. S. Torr Francesco Pinto 47 0 0 30 Oct 2024
Topic-aware Causal Intervention for Counterfactual Detection Thong Nguyen Truc-My Nguyen 28 1 0 25 Sep 2024
Navigating LLM Ethics: Advancements, Challenges, and Future Directions Junfeng Jiao S. Afroogh Yiming Xu Connor Phillips AILaw 62 19 0 14 May 2024
Two Heads are Better than One: Nested PoE for Robust Defense Against Multi-Backdoors Victoria Graf Qin Liu Muhao Chen AAML 37 8 0 02 Apr 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey Tahsin Alamgir Kheya Mohamed Reda Bouadjenek Sunil Aryal 28 8 0 26 Mar 2024
Take Care of Your Prompt Bias! Investigating and Mitigating Prompt Bias in Factual Knowledge Extraction Ziyang Xu Keqin Peng Liang Ding Dacheng Tao Xiliang Lu 34 10 0 15 Mar 2024
Learning Shortcuts: On the Misleading Promise of NLU in Language Models Geetanjali Bihani Julia Taylor Rayz 33 3 0 17 Jan 2024
Self-Supervised Position Debiasing for Large Language Models Zhongkun Liu Zheng Chen Mengqi Zhang Zhaochun Ren Pengjie Ren Zhumin Chen 36 1 0 02 Jan 2024
Multi-label and Multi-target Sampling of Machine Annotation for Computational Stance Detection Zhengyuan Liu Hai Leong Chieu Nancy F. Chen 26 1 0 08 Nov 2023
FTFT: Efficient and Robust Fine-Tuning by Transferring Training Dynamics Yupei Du Albert Gatt Dong Nguyen 31 1 0 10 Oct 2023
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
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
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
Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing Qiang Liu Jun Wu Shu Wu Liang Wang OODD CML 25 11 0 25 Apr 2023
Effectiveness of Debiasing Techniques: An Indigenous Qualitative Analysis Vithya Yogarajan Gillian Dobbie Henry Gouk 11 3 0 17 Apr 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
Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors Keqin Bao Boyi Deng Dayiheng Liu Baosong Yang Wenqiang Lei Xiangnan He Derek F.Wong Jun Xie 34 4 0 17 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
KL Regularized Normalization Framework for Low Resource Tasks Neeraj Kumar Ankur Narang Brejesh Lall 26 1 0 21 Dec 2022
DISCO: Distilling Counterfactuals with Large Language Models Zeming Chen Qiyue Gao Antoine Bosselut Ashish Sabharwal Kyle Richardson 29 25 0 20 Dec 2022
Debiasing Stance Detection Models with Counterfactual Reasoning and Adversarial Bias Learning Jianhua Yuan Yanyan Zhao Bing Qin 41 4 0 20 Dec 2022
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
State-of-the-art generalisation research in NLP: A taxonomy and review Dieuwke Hupkes Mario Giulianelli Verna Dankers Mikel Artetxe Yanai Elazar ... Leila Khalatbari Maria Ryskina Rita Frieske Ryan Cotterell Zhijing Jin 114 93 0 06 Oct 2022
When Does Group Invariant Learning Survive Spurious Correlations? Yimeng Chen Ruibin Xiong Zhiming Ma Yanyan Lan OOD CML 24 20 0 29 Jun 2022
Learning to Split for Automatic Bias Detection Yujia Bao Regina Barzilay 17 20 0 28 Apr 2022
Stretching Sentence-pair NLI Models to Reason over Long Documents and Clusters Tal Schuster Sihao Chen S. Buthpitiya Alex Fabrikant Donald Metzler 23 41 0 15 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
RAIL-KD: RAndom Intermediate Layer Mapping for Knowledge Distillation Md. Akmal Haidar Nithin Anchuri Mehdi Rezagholizadeh Abbas Ghaddar Philippe Langlais Pascal Poupart 31 22 0 21 Sep 2021
Raising context awareness in motion forecasting H. Ben-younes Éloi Zablocki Mickaël Chen P. Pérez Matthieu Cord TTA 39 11 0 16 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
A Survey on Automated Fact-Checking Zhijiang Guo M. Schlichtkrull Andreas Vlachos 27 457 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 42 0 24 Jul 2021
Learning Stable Classifiers by Transferring Unstable Features Yujia Bao Shiyu Chang Regina Barzilay OOD 27 8 0 15 Jun 2021
Supervising Model Attention with Human Explanations for Robust Natural Language Inference Joe Stacey Yonatan Belinkov Marek Rei 30 45 0 16 Apr 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
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
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
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 190 576 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 297 6,959 0 20 Apr 2018