Devendra Singh Sachan

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 28

Top Topics

Language Modeling

Unlabeled Documents

Text Classifiers

Question Answering

Top Venues

Publications

Jinhyuk Lee, Anthony Chen, Zhuyun Dai, Dheeru Dua, Devendra Singh Sachan, Michael Boratko, Yi Luan, Sébastien M. R. Arnold, Vincent Perot, Siddharth Dalmia, Hexiang Hu, Xudong Lin, Panupong Pasupat, Aida Amini, Jeremy R. Cole, Sebastian Riedel, Iftekhar Naim, Ming-Wei Chang, Kelvin Guu
Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? CoRR (2024)
Devendra Singh Sachan, Mike Lewis, Dani Yogatama, Luke Zettlemoyer, Joelle Pineau, Manzil Zaheer
Questions Are All You Need to Train a Dense Passage Retriever. Trans. Assoc. Comput. Linguistics 11 (2023)
Devendra Singh Sachan, Mike Lewis, Mandar Joshi, Armen Aghajanyan, Wen-tau Yih, Joelle Pineau, Luke Zettlemoyer
Improving Passage Retrieval with Zero-Shot Question Generation. EMNLP (2022)
Devendra Singh Sachan, Mike Lewis, Mandar Joshi, Armen Aghajanyan, Wen-tau Yih, Joelle Pineau, Luke Zettlemoyer
Improving Passage Retrieval with Zero-Shot Question Generation. CoRR (2022)
Devendra Singh Sachan, Mike Lewis, Dani Yogatama, Luke Zettlemoyer, Joelle Pineau, Manzil Zaheer
Questions Are All You Need to Train a Dense Passage Retriever. CoRR (2022)
Devendra Singh Sachan, Yuhao Zhang, Peng Qi, William L. Hamilton
Do Syntax Trees Help Pre-trained Transformers Extract Information? EACL (2021)
Devendra Singh Sachan, Siva Reddy, William L. Hamilton, Chris Dyer, Dani Yogatama
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering. CoRR (2021)
Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L. Hamilton, Bryan Catanzaro
End-to-End Training of Neural Retrievers for Open-Domain Question Answering. CoRR (2021)
Devendra Singh Sachan, Siva Reddy, William L. Hamilton, Chris Dyer, Dani Yogatama
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering. NeurIPS (2021)
Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L. Hamilton, Bryan Catanzaro
End-to-End Training of Neural Retrievers for Open-Domain Question Answering. ACL/IJCNLP (1) (2021)
Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov
Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function. CoRR (2020)
Devendra Singh Sachan, Yuhao Zhang, Peng Qi, William L. Hamilton
Do Syntax Trees Help Pre-trained Transformers Extract Information? CoRR (2020)
Devendra Singh Sachan, Lingfei Wu, Mrinmaya Sachan, William L. Hamilton
Stronger Transformers for Neural Multi-Hop Question Generation. CoRR (2020)
Zhiting Hu, Haoran Shi, Bowen Tan, Wentao Wang, Zichao Yang, Tiancheng Zhao, Junxian He, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. ACL (3) (2019)
Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov
Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function. AAAI (2019)
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
XNMT: The eXtensible Neural Machine Translation Toolkit. AMTA (1) (2018)
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
XNMT: The eXtensible Neural Machine Translation Toolkit. CoRR (2018)
Devendra Singh Sachan, Graham Neubig
Parameter Sharing Methods for Multilingual Self-Attentional Translation Models. WMT (2018)
Ye Qi, Devendra Singh Sachan, Matthieu Felix, Sarguna Padmanabhan, Graham Neubig
When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation? NAACL-HLT (2) (2018)
Devendra Singh Sachan, Pengtao Xie, Mrinmaya Sachan, Eric P. Xing
Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition. MLHC (2018)
Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov
Investigating the Working of Text Classifiers. COLING (2018)
Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov
Investigating the Working of Text Classifiers. CoRR (2018)
Manzil Zaheer, Sashank J. Reddi, Devendra Singh Sachan, Satyen Kale, Sanjiv Kumar
Adaptive Methods for Nonconvex Optimization. NeurIPS (2018)
Devendra Singh Sachan, Graham Neubig
Parameter Sharing Methods for Multilingual Self-Attentional Translation Models. CoRR (2018)
Zhiting Hu, Haoran Shi, Zichao Yang, Bowen Tan, Tiancheng Zhao, Junxian He, Wentao Wang, Xingjiang Yu, Lianhui Qin, Di Wang, Xuezhe Ma, Zhengzhong Liu, Xiaodan Liang, Wanrong Zhu, Devendra Singh Sachan, Eric P. Xing
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation. CoRR (2018)
Ye Qi, Devendra Singh Sachan, Matthieu Felix, Sarguna Janani Padmanabhan, Graham Neubig
When and Why are Pre-trained Word Embeddings Useful for Neural Machine Translation? CoRR (2018)
Devendra Singh Sachan, Pengtao Xie, Eric P. Xing
Effective Use of Bidirectional Language Modeling for Medical Named Entity Recognition. CoRR (2017)
Devendra Singh Sachan, Shailesh Kumar
Class Vectors: Embedding representation of Document Classes. CoRR (2015)
Devendra Singh Sachan, Umesh Tekwani, Amit Sethi
Sports Video Classification from Multimodal Information Using Deep Neural Networks. AAAI Fall Symposia (2013)