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On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study

Jun 02, 2021
Divyansh Kaushik, Douwe Kiela, Zachary C. Lipton, Wen-tau Yih

* Accepted at ACL-IJCNLP 2021 

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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 

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Explaining The Efficacy of Counterfactually-Augmented Data

Oct 06, 2020
Divyansh Kaushik, Amrith Setlur, Eduard Hovy, Zachary C. Lipton

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Learning the Difference that Makes a Difference with Counterfactually-Augmented Data

Sep 26, 2019
Divyansh Kaushik, Eduard Hovy, Zachary C. Lipton

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Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment

Mar 11, 2019
Yifan Wu, Ezra Winston, Divyansh Kaushik, Zachary Lipton

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How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks

Aug 21, 2018
Divyansh Kaushik, Zachary C. Lipton

* To appear in EMNLP 2018 

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