How Robust are Model Rankings: A Leaderboard Customization Approach for Equitable Evaluation

10 June 2021

Papers citing "How Robust are Model Rankings: A Leaderboard Customization Approach for Equitable Evaluation"

5 / 5 papers shown

Title
LINGO : Visually Debiasing Natural Language Instructions to Support Task Diversity Anjana Arunkumar Shubham Sharma Rakhi Agrawal Sriramakrishnan Chandrasekaran Chris Bryan 18 0 0 12 Apr 2023
Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness Tejas Gokhale Swaroop Mishra Man Luo Bhavdeep Singh Sachdeva Chitta Baral 23 29 0 15 Mar 2022
The Benchmark Lottery Mostafa Dehghani Yi Tay A. Gritsenko Zhe Zhao N. Houlsby Fernando Diaz Donald Metzler Oriol Vinyals 21 89 0 14 Jul 2021
Certified Robustness to Adversarial Word Substitutions Robin Jia Aditi Raghunathan Kerem Göksel Percy Liang AAML 178 290 0 03 Sep 2019
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks Mohit Iyyer John Wieting Kevin Gimpel Luke Zettlemoyer AAML GAN 185 711 0 17 Apr 2018