An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models

14 July 2020

Papers citing "An Empirical Study on Robustness to Spurious Correlations using Pre-trained Language Models"

21 / 121 papers shown

Title
On a Benefit of Mask Language Modeling: Robustness to Simplicity Bias Ting-Rui Chiang 35 4 0 11 Oct 2021
Generalization in NLI: Ways (Not) To Go Beyond Simple Heuristics Prajjwal Bhargava Aleksandr Drozd Anna Rogers 102 102 0 04 Oct 2021
Adversarial Examples Generation for Reducing Implicit Gender Bias in Pre-trained Models Wenqian Ye Fei Xu Yaojia Huang Cassie Huang A. Ji 17 2 0 03 Oct 2021
Symbolic Brittleness in Sequence Models: on Systematic Generalization in Symbolic Mathematics Sean Welleck Peter West Jize Cao Yejin Choi 29 28 0 28 Sep 2021
BiRdQA: A Bilingual Dataset for Question Answering on Tricky Riddles Yunxiang Zhang Xiaojun Wan 36 12 0 23 Sep 2021
AdapterHub Playground: Simple and Flexible Few-Shot Learning with Adapters Tilman Beck Bela Bohlender Christina Viehmann Vincent Hane Yanik Adamson Jaber Khuri Jonas Brossmann Jonas Pfeiffer Iryna Gurevych 21 15 0 18 Aug 2021
Is My Model Using The Right Evidence? Systematic Probes for Examining Evidence-Based Tabular Reasoning Vivek Gupta Riyaz Ahmad Bhat Atreya Ghosal Manisha Srivastava M. Singh Vivek Srikumar LMTD 20 18 0 02 Aug 2021
On the Copying Behaviors of Pre-Training for Neural Machine Translation Xuebo Liu Longyue Wang Derek F. Wong Liang Ding Lidia S. Chao Shuming Shi Zhaopeng Tu 27 25 0 17 Jul 2021
Robustifying Multi-hop QA through Pseudo-Evidentiality Training Kyungjae Lee Seung-won Hwang Sanghyun Han Dohyeon Lee OffRL 11 12 0 07 Jul 2021
An Investigation of the (In)effectiveness of Counterfactually Augmented Data Nitish Joshi He He OODD 19 46 0 01 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
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study Divyansh Kaushik Douwe Kiela Zachary Chase Lipton Wen-tau Yih AAML 11 36 0 02 Jun 2021
HiddenCut: Simple Data Augmentation for Natural Language Understanding with Better Generalization Jiaao Chen Dinghan Shen Weizhu Chen Diyi Yang BDL 24 47 0 31 May 2021
Improved OOD Generalization via Adversarial Training and Pre-training Mingyang Yi Lu Hou Jiacheng Sun Lifeng Shang Xin Jiang Qun Liu Zhi-Ming Ma VLM 33 83 0 24 May 2021
Memorisation versus Generalisation in Pre-trained Language Models Michael Tänzer Sebastian Ruder Marek Rei 94 50 0 16 Apr 2021
Back to Square One: Artifact Detection, Training and Commonsense Disentanglement in the Winograd Schema Yanai Elazar Hongming Zhang Yoav Goldberg Dan Roth ReLM LRM 45 44 0 16 Apr 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
Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing Xi Lin R. Socher Caiming Xiong LMTD 20 207 0 23 Dec 2020
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning Xisen Jin Francesco Barbieri Brendan Kennedy Aida Mostafazadeh Davani Leonardo Neves Xiang Ren 35 5 0 24 Oct 2020
Towards Debiasing NLU Models from Unknown Biases Prasetya Ajie Utama N. Moosavi Iryna Gurevych 19 154 0 25 Sep 2020