Sotabase

Career

· Principal Researcher, Microsoft2021–2024
· Associate Professor, Massachusetts Institute of Technology2019–
· Senior Researcher, Microsoft2018–2021
· Senior Research Scientist, Microsoft Semantic Machines2018–2019
· Research Scientist, Semantic Machines2014–2018
· PhD Student, University of California Berkeley2013–2018
· Master of Philosophy, University of Cambridge2012–2013
· M.Phil. Student, University of Cambridge2012–2013
· MS Student, University of Cambridge2012–2013
· Bachelor of Science, Columbia University2008–2012
· Undergraduate Student, Columbia University2008–2012

Publications (134)

Neural Module Networks
Computer Vision and Pattern Recognition · 2015
1,143
cited
What learning algorithm is in-context learning? Investigations with linear models
International Conference on Learning Representations · 2022
630
cited
Learning to Reason: End-to-End Module Networks for Visual Question Answering
IEEE International Conference on Computer Vision · 2017
597
cited
Learning to Compose Neural Networks for Question Answering
North American Chapter of the Association for Computational Linguistics · 2016
578
cited
Speaker-Follower Models for Vision-and-Language Navigation
Neural Information Processing Systems · 2018
567
cited
Modular Multitask Reinforcement Learning with Policy Sketches
International Conference on Machine Learning · 2016
488
cited
Modeling Relationships in Referential Expressions with Compositional Modular Networks
Computer Vision and Pattern Recognition · 2016
423
cited
Experience Grounds Language
Conference on Empirical Methods in Natural Language Processing · 2020
408
cited
Reasoning or Reciting? Exploring the Capabilities and Limitations of Language Models Through Counterfactual Tasks
North American Chapter of the Association for Computational Linguistics · 2023
310
cited
Pre-Trained Language Models for Interactive Decision-Making
Neural Information Processing Systems · 2022
308
cited
A Survey of Reinforcement Learning Informed by Natural Language
International Joint Conference on Artificial Intelligence · 2019
304
cited
Good-Enough Compositional Data Augmentation
Annual Meeting of the Association for Computational Linguistics · 2019
240
cited
Guiding Pretraining in Reinforcement Learning with Large Language Models
International Conference on Machine Learning · 2023
231
cited
Implicit Representations of Meaning in Neural Language Models
Annual Meeting of the Association for Computational Linguistics · 2021
214
cited
Explainable Neural Computation via Stack Neural Module Networks
European Conference on Computer Vision · 2018
206
cited
Compositional Explanations of Neurons
Neural Information Processing Systems · 2020
204
cited
A Minimal Span-Based Neural Constituency Parser
Annual Meeting of the Association for Computational Linguistics · 2017
201
cited
Reasoning about Pragmatics with Neural Listeners and Speakers
Conference on Empirical Methods in Natural Language Processing · 2016
185
cited
Task-Oriented Dialogue as Dataflow Synthesis
Transactions of the Association for Computational Linguistics · 2020
171
cited
Language Models as Agent Models
Conference on Empirical Methods in Natural Language Processing · 2022
170
cited
Sotabase