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I am a research scientist in Google DeepMind, UK. I earned my PhD from the School of Computer Science, McGill University and Mila, where I was fortunate to be advised by Joelle Pineau. I have also worked with William Hamilton (now at Citadel LLC). My research interests are in natural language processing and machine learning. I have done internships at Google DeepMind (with Yuan Cao's team and Rob Fergus team), Meta AI (with Luke Zettlemoyer's team and Mike Lewis), Amazon AI (with Marcello Federico's team), and NVIDIA (with Bryan Catanzaro and Mohammad Shoeybi's team). I have also collaborated with the awesome Dani Yogatama from DeepMind (now at USC). I have completed my masters from Language Technologies Institute, School of Computer Science at Carnegie Mellon University. Previously, I did my bachelors at Indian Institute of Technology, Guwahati. Email / Google Scholar / Twitter / Github |
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I'm interested in natural language processing, machine learning, optimization, and deep learning. More recently, my research is focused towards information retrieval, open-domain question answering, and pre-trained language models. |
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Devendra Singh Sachan, Mike Lewis, Dani Yogatama, Luke Zettlemoyer, Joelle Pineau, Manzil Zaheer TACL 2023 (presented at ACL 2023) [poster] [slides] [code] |
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Cuong Hoang, Devendra Singh Sachan, Prashant Mathur, Brian Thompson, Marcello Federico EACL 2023 (Findings Track) |
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Devendra Singh Sachan, Mike Lewis, Mandar Joshi, Armen Aghajanyan, Wen-tau Yih, Joelle Pineau, Luke Zettlemoyer EMNLP 2022 [poster] [code] |
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Devendra Singh Sachan, Siva Reddy, William Hamilton, Chris Dyer, Dani Yogatama NeurIPS 2021 [slides] [poster] [code] |
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Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William Hamilton, Bryan Catanzaro ACL 2021 Oral Presentation [slides] [code] |
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Devendra Singh Sachan, Yuhao Zhang, Peng Qi, William Hamilton EACL 2021 Oral Presentation [slides] [poster] [code] |
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Devendra Singh Sachan, Lingfei Wu, Mrinmaya Sachan, William Hamilton Preprint |
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Zhiting Hu, Haoran Shi, Bowen Tan, Wentao Wang, Zichao Yang, Tiancheng Zhao, Junxian He, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wangrong Zhu, Devendra Singh Sachan, Eric P. Xing ACL 2019 Best Demo Paper Nomination [code] |
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Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov AAAI 2019 Spotlight Presentation [code] |
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Manzil Zaheer, Sashank Reddi, Devendra Singh Sachan, Satyen Kale, Sanjiv Kumar NeurIPS 2018 [code] |
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Devendra Singh Sachan, Graham Neubig WMT 2018 Oral Presentation [slides] [code] |
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Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov COLING 2018 [code] |
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Devendra Singh Sachan, Pengtao Xie, Mrinmaya Sachan, Eric P Xing MLHC 2018 Spotlight Presentation |
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Ye Qi, Devendra Singh Sachan, Matthieu Felix, Sarguna Janani Padmanabhan, Graham Neubig NAACL 2018 [code] |
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Graham Neubig, Matthias Sperber, Xinyi Wang, Matthieu Felix, Austin Matthews, Sarguna Padmanabhan, Ye Qi, Devendra Singh Sachan, Philip Arthur, Pierre Godard, John Hewitt, Rachid Riad, Liming Wang AMTA 2018 [code] |
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Devendra Singh Sachan, Umesh Tekwani, Amit Sethi AAAI 2013 Fall Symposium Series |
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Reviewer: NeurIPS (2022, 2021, 2020), ICLR (2022, 2021), NAACL 2021, ACL (2023, 2019), NAACL 2019, CoNLL 2018, EMNLP (2022,2018)
Program Committee Member: Spa-NLP 2022, Rep4NLP 2020, WMT 2019, WMT 2018 |
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TA for COMP-424 Artificial Intelligence, Spring 2020 at McGill University, Montreal, Canada.
TA for IFT-6390 Fundamentals of Machine Learning, Fall 2019 at University of Montreal, Montreal, Canada. TA for 10-725 Convex Optimization, Fall 2017 at Carnegie Mellon University, Pittsburgh, USA. |
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Comments highlighted in the MIT Technology Review magazine (https://www.technologyreview.com/2021/12/08/1041557/deepmind-language-model-beat-others-25-times-size-gpt-3-megatron/) |
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