Sotabase

Career

· Staff Research Scientist, Meta2020–
· Doctor of Philosophy - PhD, Computer Science, University of Washington2014–2019
· Graduate Student, University of Washington2014–2019
· Software Engineer, Facebook2013–2014
· Intern, Facebook2011–2011
· Master of Science (M.S.), Computer Science, Stanford University2010–2012
· Student, Stanford University2010–2013
· Intern, Microsoft2008–2008
· Bachelor of Engineering (B.E.), Computer Engineering, VESIT, Mumbai, India2005–2009

Publications (61)

LIMA: Less Is More for Alignment
Neural Information Processing Systems · 2023
1,157
cited
Summarizing Source Code using a Neural Attention Model
Annual Meeting of the Association for Computational Linguistics · 2016
747
cited
Learning a Neural Semantic Parser from User Feedback
Annual Meeting of the Association for Computational Linguistics · 2017
371
cited
Proton Pump Inhibitor Usage and the Risk of Myocardial Infarction in the General Population
PLoS ONE · 2015
328
cited
Neural AMR: Sequence-to-Sequence Models for Parsing and Generation
Annual Meeting of the Association for Computational Linguistics · 2017
316
cited
LEVER: Learning to Verify Language-to-Code Generation with Execution
International Conference on Machine Learning · 2023
286
cited
Demystifying Prompts in Language Models via Perplexity Estimation
Conference on Empirical Methods in Natural Language Processing · 2022
279
cited
Efficient Large Scale Language Modeling with Mixtures of Experts
Conference on Empirical Methods in Natural Language Processing · 2021
229
cited
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval
International Conference on Learning Representations · 2020
220
cited
Pharmacovigilance Using Clinical Notes
Clinical pharmacology and therapy · 2013
170
cited
Mining clinical text for signals of adverse drug-drug interactions
J. Am. Medical Informatics Assoc. · 2014
167
cited
Efficient One-Pass End-to-End Entity Linking for Questions
Conference on Empirical Methods in Natural Language Processing · 2020
157
cited
Complementary Explanations for Effective In-Context Learning
Annual Meeting of the Association for Computational Linguistics · 2022
115
cited
Toward personalizing treatment for depression: predicting diagnosis and severity
J. Am. Medical Informatics Assoc. · 2014
103
cited
Annotation analysis for testing drug safety signals using unstructured clinical notes
Journal of Biomedical Semantics · 2012
96
cited
DeLighT: Deep and Light-weight Transformer
International Conference on Learning Representations · 2021
96
cited
Learning to Map Context-Dependent Sentences to Executable Formal Queries
North American Chapter of the Association for Computational Linguistics · 2018
91
cited
JuICe: A Large Scale Distantly Supervised Dataset for Open Domain Context-based Code Generation
Conference on Empirical Methods in Natural Language Processing · 2019
90
cited
Do Language Models Have Beliefs? Methods for Detecting, Updating, and Visualizing Model Beliefs
arXiv.org · 2021
89
cited
Improving In-Context Few-Shot Learning via Self-Supervised Training
North American Chapter of the Association for Computational Linguistics · 2022
79
cited
Sotabase
Srini Iyer | Researcher Profile | Sotabase | Sotabase