https://www.cs.cmu.edu/~dkaushik/
I am a PhD student at the Language Technologies Institute in the School of Computer Science at Carnegie Mellon University. I'm fortunate to be advised by Dr. Eduard Hovy and Dr. Zachary Lipton. My interests lie in robustifying NLP with humans in the loop. I am an Amazon Graduate Research Fellow. In prior years, my work has been supported by Pricewaterhouse Coopers and Facebook AI. When I'm not doing research, I can be found roaming the halls of Capitol Hill advocating for science policy or grabbing a snack from the Dirksen Cafeteria. I often tweet about my research or my takes on policy/my advocacy efforts at @dkaushik96.
Research Interests: Human-in-the-Loop Learning, NLP
Anurag Katakkar*,
Clay Yoo*,
Weiqin Wang*,
Zachary Lipton,
Divyansh Kaushik
Arxiv Preprint, 2021
Divyansh Kaushik,
Douwe Kiela,
Zachary Lipton,
Wen-tau Yih
Association for Computational Linguistics and International Joint Conference on Natural Language Processing (ACL-IJCNLP), 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
North American Chapter of the Association for Computational Linguistics (NAACL), 2021
Divyansh Kaushik,
Zachary Lipton
International Conference on Learning Representations (ICLR), 2021
Divyansh Kaushik,
Zachary Lipton
International Conference on Learning Representations (ICLR), 2020
Yifan Wu,
Divyansh Kaushik,
Ezra Winston,
Zachary Lipton
International Conference on Machine Learning (ICML), 2019
Divyansh Kaushik,
Zachary Lipton
Empirical Methods in Natural Language Processing (EMNLP), 2018