Nikita Nangia

Computer Science · Physical Sciences

13h-index2.8kcitations40works2.82yr avg
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Research Topics

Topic Modeling(29), Natural Language Processing Techniques(27), Speech and dialogue systems(6), Text Readability and Simplification(6), Multimodal Machine Learning Applications(5)

Publications39 total

FaceForge: A Deep Learning Framework for Facial Manipulation Generation and Detection
arXiv (Cornell University)·2026· 6 citedOpen Access
PILOT: Steering Synthetic Data Generation with Psychological & Linguistic Output Targeting
arXiv (Cornell University)·2025Open Access
Discrete Latent Structure in Neural Networks
Foundations and Trends® in Signal Processing·2025· 2 citedOpen Access
SHADES: Towards a Multilingual Assessment of Stereotypes in Large Language Models
2025· 3 citedOpen Access
Pediatric Pancreaticobiliary Endoscopy Can Be Safely and Effectively Performed by Adult Advanced Endoscopists
Gastro Hep Advances·2023Open Access
Discrete Latent Structure in Neural Networks
arXiv (Cornell University)·2023· 1 citedOpen Access
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey
2023· 16 citedOpen Access
Common Law Annotations: Investigating the Stability of Dialog System Output Annotations
2023· 3 citedOpen Access
Two-Turn Debate Doesn't Help Humans Answer Hard Reading Comprehension Questions
arXiv (Cornell University)·2022Open Access
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey
arXiv (Cornell University)·2022· 8 citedOpen Access
PANCREATICOBILIARY ENDOSCOPY CAN BE SAFELY AND EFFECTIVELY PERFORMED BY ADULT ADVANCED ENDOSCOPISTS IN THE PEDIATRIC POPULATION
Gastrointestinal Endoscopy·2022
Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions
arXiv (Cornell University)·2022Open Access
QuALITY: Question Answering with Long Input Texts, Yes!
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies·2022· 37 citedOpen Access
BBQ: A hand-built bias benchmark for question answering
Findings of the Association for Computational Linguistics: ACL 2022·2022· 117 citedOpen Access
Proceedings of the First Workshop on Learning with Natural Language Supervision
2022Open Access
Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions
2022· 3 citedOpen Access
What Makes Reading Comprehension Questions Difficult?
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)·2022Open Access
QuALITY: Question Answering with Long Input Texts, Yes!
arXiv (Cornell University)·2021· 10 citedOpen Access
BBQ: A Hand-Built Bias Benchmark for Question Answering
arXiv (Cornell University)·2021· 2 citedOpen Access
What Ingredients Make for an Effective Crowdsourcing Protocol for\n Difficult NLU Data Collection Tasks?
arXiv (Cornell University)·2021Open Access
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Frequent Co-authors

Samuel R. Bowman(21), Alicia Parrish(12), Jason Phang(10), Samuel Bowman(6), Harsh Trivedi(6), Vishakh Padmakumar(5), Tsvetomila Mihaylova(5), Alex Wang(4), Julian Michael(4), Adina Williams(4), Jana Thompson(4), Richard Yuanzhe Pang(4), Clara Vania(4), André F. T. Martins(4), Vlad Niculae(4), He He(3), Angelica Chen(3), Ethan Perez(3), Saku Sugawara(3), Alex Warstadt(3)