Sotabase

Career

· Intern, Amazon AI2021–
· Research Intern, Meta AI2021–
· Research Intern, NVIDIA2020–
· PhD Student, McGill University2019–
· Software Engineer, Petuum2018–2019
· Research Assistant, Carnegie Mellon University2017–2017
· Master's in Computational Data Science, Carnegie Mellon University2016–2017
· Machine Learning Research Engineer, Enixta Innovations2014–2016
· Bachelor of Technology in Electronics and Communication Engineering, Indian Institute of Technology, Guwahati2009–2013
· Research Scientist, Google DeepMind

Publications (52)

Adaptive Methods for Nonconvex Optimization
Neural Information Processing Systems · 2018
459
cited
When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation?
North American Chapter of the Association for Computational Linguistics · 2018
368
cited
Improving Passage Retrieval with Zero-Shot Question Generation
Conference on Empirical Methods in Natural Language Processing · 2022
215
cited
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering
Neural Information Processing Systems · 2021
185
cited
Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function
AAAI Conference on Artificial Intelligence · 2019
139
cited
Parameter Sharing Methods for Multilingual Self-Attentional Translation Models
Conference on Machine Translation · 2018
115
cited
End-to-End Training of Neural Retrievers for Open-Domain Question Answering
Annual Meeting of the Association for Computational Linguistics · 2021
107
cited
Do Syntax Trees Help Pre-trained Transformers Extract Information?
Conference of the European Chapter of the Association for Computational Linguistics · 2020
87
cited
Questions Are All You Need to Train a Dense Passage Retriever
Transactions of the Association for Computational Linguistics · 2022
68
cited
XNMT: The eXtensible Neural Machine Translation Toolkit
Conference of the Association for Machine Translation in the Americas · 2018
67
cited
Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition
Machine Learning in Health Care · 2017
58
cited
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation
Annual Meeting of the Association for Computational Linguistics · 2018
56
cited
Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?
arXiv.org · 2024
53
cited
Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval
Conference on Empirical Methods in Natural Language Processing · 2024
26
cited
Texar: A Modularized, Versatile, and Extensible Toolbox for Text Generation
2018
14
cited
Improving Retrieval Augmented Neural Machine Translation by Controlling Source and Fuzzy-Match Interactions
Findings · 2022
12
cited
Sports Video Classification from Multimodal Information Using Deep Neural Networks
AAAI Fall Symposia · 2013
12
cited
Effective Use of Bidirectional Language Modeling for Medical Named Entity Recognition
arXiv.org · 2017
10
cited
Investigating the Working of Text Classifiers
International Conference on Computational Linguistics · 2018
9
cited
Stronger Transformers for Neural Multi-Hop Question Generation
arXiv.org · 2020
8
cited
Sotabase
Devendra Singh Sachan | Researcher Profile | Sotabase | Sotabase