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Career

· Intern, LitePoint2024–2024
· Intern, OPTOFIDELITY2023–2023
· Manager of Technical Staff, Cohere2022–
· Teaching Assistant, New York University2019–
· PhD Student, New York University2017–2022
· M.S., Computer Science, Harvard University2016–2017
· B.A., Applied Mathematics, Harvard University2013–2017
· Research Assistant, NYU Seeman Laboratory2013–
· Operations Manager, NYU Coles Sports Center2012–

Publications (111)

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
BlackboxNLP@EMNLP · 2018
8,129
cited
SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems
Neural Information Processing Systems · 2019
2,638
cited
What do you learn from context? Probing for sentence structure in contextualized word representations
International Conference on Learning Representations · 2019
922
cited
On Measuring Social Biases in Sentence Encoders
North American Chapter of the Association for Computational Linguistics · 2019
687
cited
Asking and Answering Questions to Evaluate the Factual Consistency of Summaries
Annual Meeting of the Association for Computational Linguistics · 2020
543
cited
BERT has a Mouth, and It Must Speak: BERT as a Markov Random Field Language Model
Proceedings of the Workshop on Methods for Optimizing and Evaluating Neural Language Generation · 2019
376
cited
Egocentric Video-Language Pretraining
Neural Information Processing Systems · 2022
251
cited
Impact of a deep learning assistant on the histopathologic classification of liver cancer
npj Digital Medicine · 2020
245
cited
All in One: Exploring Unified Video-Language Pre-Training
Computer Vision and Pattern Recognition · 2022
238
cited
UniVTG: Towards Unified Video-Language Temporal Grounding
IEEE International Conference on Computer Vision · 2023
194
cited
When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards
Annual Meeting of the Association for Computational Linguistics · 2024
119
cited
Can You Tell Me How to Get Past Sesame Street? Sentence-Level Pretraining Beyond Language Modeling
Annual Meeting of the Association for Computational Linguistics · 2018
113
cited
Probing What Different NLP Tasks Teach Machines about Function Word Comprehension
International Workshop on Semantic Evaluation · 2019
113
cited
jiant: A Software Toolkit for Research on General-Purpose Text Understanding Models
Annual Meeting of the Association for Computational Linguistics · 2020
96
cited
Object-aware Video-language Pre-training for Retrieval
Computer Vision and Pattern Recognition · 2021
86
cited
Nocturia
Obstetrical and Gynecological Survey · 2010
74
cited
SQuALITY: Building a Long-Document Summarization Dataset the Hard Way
Conference on Empirical Methods in Natural Language Processing · 2022
55
cited
JEN-1: Text-Guided Universal Music Generation with Omnidirectional Diffusion Models
Conference on Algebraic Informatics · 2023
53
cited
A Generalized Framework of Sequence Generation with Application to Undirected Sequence Models
arXiv.org · 2019
50
cited
MILES: Visual BERT Pre-training with Injected Language Semantics for Video-text Retrieval
European Conference on Computer Vision · 2022
49
cited
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