Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models

4 November 2021

Papers citing "Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models"

7 / 57 papers shown

Title
Measure and Improve Robustness in NLP Models: A Survey Xuezhi Wang Haohan Wang Diyi Yang 139 130 0 15 Dec 2021
Robustness Gym: Unifying the NLP Evaluation Landscape Karan Goel Nazneen Rajani Jesse Vig Samson Tan Jason M. Wu Stephan Zheng Caiming Xiong Mohit Bansal Christopher Ré AAML OffRL OOD 146 136 0 13 Jan 2021
Origins of Algorithmic Instabilities in Crowdsourced Ranking Keith Burghardt Tad Hogg R. D’Souza Kristina Lerman Márton Pósfai 11 4 0 23 Oct 2020
FreeLB: Enhanced Adversarial Training for Natural Language Understanding Chen Zhu Yu Cheng Zhe Gan S. Sun Tom Goldstein Jingjing Liu AAML 223 437 0 25 Sep 2019
Certified Robustness to Adversarial Word Substitutions Robin Jia Aditi Raghunathan Kerem Göksel Percy Liang AAML 183 290 0 03 Sep 2019
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 6,956 0 20 Apr 2018
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks Mohit Iyyer John Wieting Kevin Gimpel Luke Zettlemoyer AAML GAN 190 711 0 17 Apr 2018