On Adversarial Removal of Hypothesis-only Bias in Natural Language
Inference

On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference

9 July 2019

Yonatan Belinkov

Stuart M. Shieber

Benjamin Van Durme

Alexander M. Rush

Papers citing "On Adversarial Removal of Hypothesis-only Bias in Natural Language Inference"

17 / 17 papers shown

Title
SMoA: Sparse Mixture of Adapters to Mitigate Multiple Dataset Biases Yanchen Liu Jing Yang Yan Chen Jing Liu Huaqin Wu MoE 32 2 0 28 Feb 2023
Towards Fine-Grained Information: Identifying the Type and Location of Translation Errors Keqin Bao Yu Wan Dayiheng Liu Baosong Yang Wenqiang Lei Xiangnan He Derek F.Wong Jun Xie 29 4 0 17 Feb 2023
KL Regularized Normalization Framework for Low Resource Tasks Neeraj Kumar Ankur Narang Brejesh Lall 21 1 0 21 Dec 2022
Debiasing Stance Detection Models with Counterfactual Reasoning and Adversarial Bias Learning Jianhua Yuan Yanyan Zhao Bing Qin 39 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 26 10 0 11 Dec 2022
Generating Data to Mitigate Spurious Correlations in Natural Language Inference Datasets Yuxiang Wu Matt Gardner Pontus Stenetorp Pradeep Dasigi 19 67 0 24 Mar 2022
Saving Dense Retriever from Shortcut Dependency in Conversational Search Sungdong Kim Gangwoo Kim 17 26 0 15 Feb 2022
Context-aware Adversarial Training for Name Regularity Bias in Named Entity Recognition Abbas Ghaddar Philippe Langlais Ahmad Rashid Mehdi Rezagholizadeh 30 42 0 24 Jul 2021
Supervising Model Attention with Human Explanations for Robust Natural Language Inference Joe Stacey Yonatan Belinkov Marek Rei 23 45 0 16 Apr 2021
Learning to Model and Ignore Dataset Bias with Mixed Capacity Ensembles Christopher Clark Mark Yatskar Luke Zettlemoyer 18 60 0 07 Nov 2020
GLUCOSE: GeneraLized and COntextualized Story Explanations N. Mostafazadeh Aditya Kalyanpur Lori Moon David W. Buchanan Lauren Berkowitz Or Biran Jennifer Chu-Carroll 10 120 0 16 Sep 2020
The Sensitivity of Language Models and Humans to Winograd Schema Perturbations Mostafa Abdou Vinit Ravishankar Maria Barrett Yonatan Belinkov Desmond Elliott Anders Søgaard ReLM LRM 54 34 0 04 May 2020
Elastic weight consolidation for better bias inoculation James Thorne Andreas Vlachos 17 11 0 29 Apr 2020
Don't Take the Premise for Granted: Mitigating Artifacts in Natural Language Inference Yonatan Belinkov Adam Poliak Stuart M. Shieber Benjamin Van Durme Alexander M. Rush 19 94 0 09 Jul 2019
What you can cram into a single vector: Probing sentence embeddings for linguistic properties Alexis Conneau Germán Kruszewski Guillaume Lample Loïc Barrault Marco Baroni 199 882 0 03 May 2018
Hypothesis Only Baselines in Natural Language Inference Adam Poliak Jason Naradowsky Aparajita Haldar Rachel Rudinger Benjamin Van Durme 190 576 0 02 May 2018
Generating Natural Language Adversarial Examples M. Alzantot Yash Sharma Ahmed Elgohary Bo-Jhang Ho Mani B. Srivastava Kai-Wei Chang AAML 243 914 0 21 Apr 2018