Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Tristan Thrush

Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation


Apr 18, 2021
Max Bartolo, Tristan Thrush, Robin Jia, Sebastian Riedel, Pontus Stenetorp, Douwe Kiela


  Access Paper or Ask Questions

Dynabench: Rethinking Benchmarking in NLP


Apr 07, 2021
Douwe Kiela, Max Bartolo, Yixin Nie, Divyansh Kaushik, Atticus Geiger, Zhengxuan Wu, Bertie Vidgen, Grusha Prasad, Amanpreet Singh, Pratik Ringshia, Zhiyi Ma, Tristan Thrush, Sebastian Riedel, Zeerak Waseem, Pontus Stenetorp, Robin Jia, Mohit Bansal, Christopher Potts, Adina Williams

* NAACL 2021 

  Access Paper or Ask Questions

Rover Relocalization for Mars Sample Return by Virtual Template Synthesis and Matching


Mar 05, 2021
Tu-Hoa Pham, William Seto, Shreyansh Daftry, Barry Ridge, Johanna Hansen, Tristan Thrush, Mark Van der Merwe, Gerard Maggiolino, Alexander Brinkman, John Mayo, Yang Cheng, Curtis Padgett, Eric Kulczycki, Renaud Detry

* To appear in IEEE Robotics and Automation Letters (RA-L) and IEEE International Conference on Robotics and Automation (ICRA 2021) 

  Access Paper or Ask Questions

Learning from the Worst: Dynamically Generated Datasets to Improve Online Hate Detection


Dec 31, 2020
Bertie Vidgen, Tristan Thrush, Zeerak Waseem, Douwe Kiela


  Access Paper or Ask Questions

Investigating Novel Verb Learning in BERT: Selectional Preference Classes and Alternation-Based Syntactic Generalization


Nov 04, 2020
Tristan Thrush, Ethan Wilcox, Roger Levy

* Accepted to BlackboxNLP 2020 

  Access Paper or Ask Questions

ANLIzing the Adversarial Natural Language Inference Dataset


Oct 24, 2020
Adina Williams, Tristan Thrush, Douwe Kiela

* 33 pages, 1 figure, 24 tables 

  Access Paper or Ask Questions

Compositional Neural Machine Translation by Removing the Lexicon from Syntax


Feb 06, 2020
Tristan Thrush

* natural language processing; adversarial neural networks; machine translation; aphasia; neural attention 

  Access Paper or Ask Questions