Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training

16 April 2020

Papers citing "Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training"

8 / 8 papers shown

Title
Shortcut Learning of Large Language Models in Natural Language Understanding Mengnan Du Fengxiang He Na Zou Dacheng Tao Xia Hu KELM OffRL 42 84 0 25 Aug 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 36 5 0 19 Jan 2022
Learning Stable Classifiers by Transferring Unstable Features Yujia Bao Shiyu Chang Regina Barzilay OOD 32 8 0 15 Jun 2021
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers Yujia Bao Shiyu Chang Regina Barzilay 24 20 0 26 May 2021
Why do you think that? Exploring Faithful Sentence-Level Rationales Without Supervision Max Glockner Ivan Habernal Iryna Gurevych LRM 27 25 0 07 Oct 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 299 6,984 0 20 Apr 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks Mohit Iyyer John Wieting Kevin Gimpel Luke Zettlemoyer AAML GAN 205 713 0 17 Apr 2018