Devendra Singh Sachan

According to our database, Devendra Singh Sachan authored at least 20 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?

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

CoRR, 2024

Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval.

Yanfei Chen, Jinsung Yoon, Devendra Singh Sachan, Qingze Wang, Vincent Cohen-Addad, MohammadHossein Bateni, Chen-Yu Lee, Tomas Pfister

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Questions Are All You Need to Train a Dense Passage Retriever.

Devendra Singh Sachan, Mike Lewis, Dani Yogatama, Luke Zettlemoyer, Joelle Pineau, Manzil Zaheer

Trans. Assoc. Comput. Linguistics, 2023

2022

Improving Passage Retrieval with Zero-Shot Question Generation.

Devendra Singh Sachan, Mike Lewis, Mandar Joshi, Armen Aghajanyan, Wen-tau Yih, Joelle Pineau, Luke Zettlemoyer

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering.

Devendra Singh Sachan, Siva Reddy, William L. Hamilton, Chris Dyer, Dani Yogatama

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Do Syntax Trees Help Pre-trained Transformers Extract Information?

Devendra Singh Sachan, Yuhao Zhang, Peng Qi, William L. Hamilton

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

End-to-End Training of Neural Retrievers for Open-Domain Question Answering.

Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L. Hamilton, Bryan Catanzaro

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Stronger Transformers for Neural Multi-Hop Question Generation.

Devendra Singh Sachan, Lingfei Wu, Mrinmaya Sachan, William L. Hamilton

CoRR, 2020

2019

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation.

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

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function.

Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation.

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

CoRR, 2018

Parameter Sharing Methods for Multilingual Self-Attentional Translation Models.

Devendra Singh Sachan, Graham Neubig

Proceedings of the Third Conference on Machine Translation: Research Papers, 2018

Adaptive Methods for Nonconvex Optimization.

Manzil Zaheer, Sashank J. Reddi, Devendra Singh Sachan, Satyen Kale, Sanjiv Kumar

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation?

Ye Qi, Devendra Singh Sachan, Matthieu Felix, Sarguna Padmanabhan, Graham Neubig

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition.

Devendra Singh Sachan, Pengtao Xie, Mrinmaya Sachan, Eric P. Xing

Proceedings of the Machine Learning for Healthcare Conference, 2018

Investigating the Working of Text Classifiers.

Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov

Proceedings of the 27th International Conference on Computational Linguistics, 2018

XNMT: The eXtensible Neural Machine Translation Toolkit.

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

Proceedings of the 13th Conference of the Association for Machine Translation in the Americas, 2018

2017

Effective Use of Bidirectional Language Modeling for Medical Named Entity Recognition.

Devendra Singh Sachan, Pengtao Xie, Eric P. Xing

CoRR, 2017

2015

Class Vectors: Embedding representation of Document Classes.

Devendra Singh Sachan, Shailesh Kumar

CoRR, 2015

2013

Sports Video Classification from Multimodal Information Using Deep Neural Networks.

Devendra Singh Sachan, Umesh Tekwani, Amit Sethi

Proceedings of the 2013 AAAI Fall Symposia, Arlington, Virginia, USA, November 15-17, 2013, 2013