Sotabase

Career

· Instructor, Columbia University2013–
· Research Intern, Google Research2011–2013
· Research Intern, USC/ISI2010–
· Ph.D. Candidate, Massachusetts Institute of Technology2009–2014
· Lead Engineer (Platform Team), Facebook2007–2009
· B.A., Computer Science, Harvard University2007–
· Associate Professor, Cornell University
· ML Researcher, Cursor
· Associate Professor, Harvard University
· Researcher, Hugging Face

Publications (138)

A Neural Attention Model for Abstractive Sentence Summarization
Conference on Empirical Methods in Natural Language Processing · 2015
2,805
cited
BLOOM: A 176B-Parameter Open-Access Multilingual Language Model
arXiv.org · 2022
2,792
cited
OpenNMT: Open-Source Toolkit for Neural Machine Translation
Annual Meeting of the Association for Computational Linguistics · 2017
1,940
cited
Multitask Prompted Training Enables Zero-Shot Task Generalization
arXiv.org · 2021
1,920
cited
Character-Aware Neural Language Models
AAAI Conference on Artificial Intelligence · 2015
1,704
cited
Sequence-Level Knowledge Distillation
Conference on Empirical Methods in Natural Language Processing · 2016
1,227
cited
Abstractive Sentence Summarization with Attentive Recurrent Neural Networks
North American Chapter of the Association for Computational Linguistics · 2016
918
cited
Bottom-Up Abstractive Summarization
Conference on Empirical Methods in Natural Language Processing · 2018
714
cited
Datasets: A Community Library for Natural Language Processing
Conference on Empirical Methods in Natural Language Processing · 2021
710
cited
GLTR: Statistical Detection and Visualization of Generated Text
Annual Meeting of the Association for Computational Linguistics · 2019
698
cited
Challenges in Data-to-Document Generation
Conference on Empirical Methods in Natural Language Processing · 2017
632
cited
Sequence-to-Sequence Learning as Beam-Search Optimization
Conference on Empirical Methods in Natural Language Processing · 2016
612
cited
Movement Pruning: Adaptive Sparsity by Fine-Tuning
Neural Information Processing Systems · 2020
564
cited
Structured Attention Networks
International Conference on Learning Representations · 2017
481
cited
Parameter-Efficient Transfer Learning with Diff Pruning
Annual Meeting of the Association for Computational Linguistics · 2020
475
cited
LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks
IEEE Transactions on Visualization and Computer Graphics · 2016
428
cited
PromptSource: An Integrated Development Environment and Repository for Natural Language Prompts
Annual Meeting of the Association for Computational Linguistics · 2022
393
cited
Commonsense Knowledge Mining from Pretrained Models
Conference on Empirical Methods in Natural Language Processing · 2019
345
cited
Scaling Data-Constrained Language Models
Neural Information Processing Systems · 2023
332
cited
OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents
Neural Information Processing Systems · 2023
322
cited
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