Divyansh Kaushik

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	All	Since 2018
Citations	954	952
h-index	7	7
i10-index	7	7

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2018201920202021202220237 53 166 286 396 44

Co-authors

Zachary C. LiptonAssistant Professor at Carnegie Mellon University; Chief Scientific Officer at AbridgeVerified email at cmu.edu
Eduard HovyUniversity of Melbourne, CMUVerified email at andrew.cmu.edu
Douwe KielaStanford UniversityVerified email at stanford.edu
Yixin NieMeta, UNC Chapel HillVerified email at meta.com
Grusha PrasadColgate UniversityVerified email at colgate.edu
Zhengxuan WuStanford UniversityVerified email at stanford.edu
Max BartoloUniversity College London, Research Scientist @CohereAIVerified email at cs.ucl.ac.uk
Christopher PottsProfessor of Linguistics and, by courtesy, of Computer ScienceVerified email at stanford.edu
Bertie VidgenCEO and co-founder of RewireVerified email at rewire.online
Atticus GeigerStanford UniversityVerified email at stanford.edu
Sebastian RiedelProfessor @ University College London, Researcher @ DeepMindVerified email at cs.ucl.ac.uk
Mohit BansalProfessor, Computer Science, UNC Chapel HillVerified email at cs.unc.edu
Adina WilliamsResearch Scientist, FAIR (Meta Platforms Inc.)Verified email at nyu.edu
Robin JiaUniversity of Southern CaliforniaVerified email at usc.edu
Yifan WuCarnegie Mellon UniversityVerified email at andrew.cmu.edu
Amrith SetlurMachine Learning Department, CMUVerified email at cs.cmu.edu
Scott Wen-tau YihMeta AI - FAIRVerified email at fb.com
Surya Dev AggarwalPostdoctoral Fellow, Department of Microbiology, NYUVerified email at nyulangone.org
Alex John LondonClara L West Professor of Ethics and Philosophy at Carnegie Mellon UniversityVerified email at andrew.cmu.edu

Divyansh Kaushik

Associate Director, Emerging Technologies and National Security, Federation of American Scientists

Verified email at fas.org - Homepage

Machine Learning Natural Language Processing Technology & Society Science & Technology Policy


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data D Kaushik, E Hovy, ZC Lipton International Conference on Learning Representations (ICLR), 2020	373	2020
How Much Reading Does Reading Comprehension Require? A Critical Investigation of Popular Benchmarks D Kaushik, ZC Lipton Empirical Methods in Natural Language Processing (EMNLP), 2018	206	2018
Dynabench: Rethinking Benchmarking in NLP D Kiela, M Bartolo, Y Nie, D Kaushik, A Geiger, Z Wu, B Vidgen, G Prasad, ... North American Chapter of the Association for Computational Linguistics (NAACL), 2021	152	2021
Domain Adaptation with Asymmetrically-Relaxed Distribution Alignment Y Wu, E Winston, D Kaushik, Z Lipton International Conference on Machine Learning (ICML), 2019	117	2019
Explaining The Efficacy of Counterfactually Augmented Data D Kaushik, A Setlur, E Hovy, ZC Lipton International Conference on Learning Representations (ICLR), 2021	46	2021
Application of Data Mining for High Accuracy Prediction of Breast Tissue Biopsy Results D Kaushik, K Kaur Digital Information Processing, Data Mining, and Wireless Communications …, 2016	28	2016
On the Efficacy of Adversarial Data Collection for Question Answering: Results from a Large-Scale Randomized Study D Kaushik, D Kiela, ZC Lipton, W Yih Association for Computational Linguistics and International Joint Conference …, 2021	22	2021
The Impact of International Scientists, Engineers, and Students on U.S. Research Outputs and Global Competitiveness S Rovito, D Kaushik, SD Aggarwal MIT Science Policy Review, 2021	4	2021
Resolving the Human Subjects Status of Machine Learning's Crowdworkers D Kaushik, ZC Lipton, AJ London arXiv preprint arXiv:2206.04039, 2022	3	2022
Practical Benefits of Feature Feedback Under Distribution Shift A Katakkar, W Wang, CH Yoo, ZC Lipton, D Kaushik BlackboxNLP Workshop, 2022	3	2022
Robustifying NLP with Humans in the Loop D Kaushik Carnegie Mellon University, 2022		2022
Making Travel Smarter: Extracting Travel Information From Email Itineraries Using Named Entity Recognition D Kaushik, S Gupta, C Raju, R Dias, S Ghosh Recent Advances in Natural Language Processing (RANLP), 354-362, 2017		2017

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