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ORCIDDevendra Singh Sachan
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2020 – today
- 2024
[c14]Yanfei Chen, Jinsung Yoon, Devendra Singh Sachan, Qingze Wang, Vincent Cohen-Addad, MohammadHossein Bateni, Chen-Yu Lee, Tomas Pfister:
Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval. EMNLP (Findings) 2024: 4705-4726- [i16]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 abs/2406.13121 (2024) - [i15]Yanfei Chen, Jinsung Yoon, Devendra Singh Sachan, Qingze Wang, Vincent Cohen-Addad, MohammadHossein Bateni, Chen-Yu Lee, Tomas Pfister:
Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval. CoRR abs/2408.01875 (2024) - 2023
- [j1]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: 600-616 (2023) - 2022
- [c13]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: 3781-3797 - [i14]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 abs/2204.07496 (2022) - [i13]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 abs/2206.10658 (2022) - 2021
- [c12]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: 6648-6662 - [c11]Devendra Singh Sachan, Yuhao Zhang, Peng Qi, William L. Hamilton:
Do Syntax Trees Help Pre-trained Transformers Extract Information? EACL 2021: 2647-2661 - [c10]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: 25968-25981 - [i12]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 abs/2101.00408 (2021) - [i11]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 abs/2106.05346 (2021) - 2020
- [i10]Devendra Singh Sachan, Yuhao Zhang, Peng Qi, William L. Hamilton:
Do Syntax Trees Help Pre-trained Transformers Extract Information? CoRR abs/2008.09084 (2020) - [i9]Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov:
Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function. CoRR abs/2009.04007 (2020) - [i8]Devendra Singh Sachan, Lingfei Wu, Mrinmaya Sachan, William L. Hamilton:
Stronger Transformers for Neural Multi-Hop Question Generation. CoRR abs/2010.11374 (2020)
2010 – 2019
- 2019
- [c9]Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov:
Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function. AAAI 2019: 6940-6948 - [c8]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: 159-164 - 2018
- [c7]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: 185-192 - [c6]Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov:
Investigating the Working of Text Classifiers. COLING 2018: 2120-2131 - [c5]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: 383-402 - [c4]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: 529-535 - [c3]Manzil Zaheer, Sashank J. Reddi, Devendra Singh Sachan, Satyen Kale, Sanjiv Kumar:
Adaptive Methods for Nonconvex Optimization. NeurIPS 2018: 9815-9825 - [c2]Devendra Singh Sachan, Graham Neubig:
Parameter Sharing Methods for Multilingual Self-Attentional Translation Models. WMT 2018: 261-271 - [i7]Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov:
Investigating the Working of Text Classifiers. CoRR abs/1801.06261 (2018) - [i6]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 abs/1803.00188 (2018) - [i5]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 abs/1804.06323 (2018) - [i4]Devendra Singh Sachan, Graham Neubig:
Parameter Sharing Methods for Multilingual Self-Attentional Translation Models. CoRR abs/1809.00252 (2018) - [i3]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 abs/1809.00794 (2018) - 2017
- [i2]Devendra Singh Sachan, Pengtao Xie, Eric P. Xing:
Effective Use of Bidirectional Language Modeling for Medical Named Entity Recognition. CoRR abs/1711.07908 (2017) - 2015
- [i1]Devendra Singh Sachan, Shailesh Kumar:
Class Vectors: Embedding representation of Document Classes. CoRR abs/1508.00189 (2015) - 2013
- [c1]Devendra Singh Sachan, Umesh Tekwani, Amit Sethi:
Sports Video Classification from Multimodal Information Using Deep Neural Networks. AAAI Fall Symposia 2013
Coauthor Index
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