Devendra Singh Sachan

32 papers A* 4A 1B 1Journal 17Unranked 9
YearRankTypeTitle / Venue / Authors
2025 — conf
LOFT: Scalable and More Realistic Long-Context Evaluation.
NAACL (Findings)
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
2024 J jnl
Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?
CoRR
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
2024 — conf
Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval.
EMNLP (Findings)
Yanfei Chen, Jinsung Yoon, Devendra Singh Sachan, Qingze Wang, Vincent Cohen-Addad, MohammadHossein Bateni, Chen-Yu Lee, Tomas Pfister
2024 J jnl
Re-Invoke: Tool Invocation Rewriting for Zero-Shot Tool Retrieval.
CoRR
Yanfei Chen, Jinsung Yoon, Devendra Singh Sachan, Qingze Wang, Vincent Cohen-Addad, MohammadHossein Bateni, Chen-Yu Lee, Tomas Pfister
2023 J jnl
Questions Are All You Need to Train a Dense Passage Retriever.
Trans. Assoc. Comput. Linguistics
Devendra Singh Sachan, Mike Lewis, Dani Yogatama, Luke Zettlemoyer, Joelle Pineau, Manzil Zaheer
2022 A* conf
Improving Passage Retrieval with Zero-Shot Question Generation.
EMNLP
Devendra Singh Sachan, Mike Lewis, Mandar Joshi, Armen Aghajanyan, Wen-tau Yih, Joelle Pineau, Luke Zettlemoyer
2022 J jnl
Improving Passage Retrieval with Zero-Shot Question Generation.
CoRR
Devendra Singh Sachan, Mike Lewis, Mandar Joshi, Armen Aghajanyan, Wen-tau Yih, Joelle Pineau, Luke Zettlemoyer
2022 J jnl
Questions Are All You Need to Train a Dense Passage Retriever.
CoRR
Devendra Singh Sachan, Mike Lewis, Dani Yogatama, Luke Zettlemoyer, Joelle Pineau, Manzil Zaheer
2021 A conf
Do Syntax Trees Help Pre-trained Transformers Extract Information?
EACL
Devendra Singh Sachan, Yuhao Zhang, Peng Qi, William L. Hamilton
2021 A* conf
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering.
NeurIPS
Devendra Singh Sachan, Siva Reddy, William L. Hamilton, Chris Dyer, Dani Yogatama
2021 J jnl
End-to-End Training of Multi-Document Reader and Retriever for Open-Domain Question Answering.
CoRR
Devendra Singh Sachan, Siva Reddy, William L. Hamilton, Chris Dyer, Dani Yogatama
2021 — conf
End-to-End Training of Neural Retrievers for Open-Domain Question Answering.
ACL/IJCNLP (1)
Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L. Hamilton, Bryan Catanzaro
2021 J jnl
End-to-End Training of Neural Retrievers for Open-Domain Question Answering.
CoRR
Devendra Singh Sachan, Mostofa Patwary, Mohammad Shoeybi, Neel Kant, Wei Ping, William L. Hamilton, Bryan Catanzaro
2020 J jnl
Do Syntax Trees Help Pre-trained Transformers Extract Information?
CoRR
Devendra Singh Sachan, Yuhao Zhang, Peng Qi, William L. Hamilton
2020 J jnl
Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function.
CoRR
Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov
2020 J jnl
Stronger Transformers for Neural Multi-Hop Question Generation.
CoRR
Devendra Singh Sachan, Lingfei Wu, Mrinmaya Sachan, William L. Hamilton
2019 A* conf
Revisiting LSTM Networks for Semi-Supervised Text Classification via Mixed Objective Function.
AAAI
Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov
2019 — conf
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation.
ACL (3)
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
2018 A* conf
Adaptive Methods for Nonconvex Optimization.
NeurIPS
Manzil Zaheer, Sashank J. Reddi, Devendra Singh Sachan, Satyen Kale, Sanjiv Kumar
2018 — conf
Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition.
MLHC
Devendra Singh Sachan, Pengtao Xie, Mrinmaya Sachan, Eric P. Xing
2018 B conf
Investigating the Working of Text Classifiers.
COLING
Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov
2018 J jnl
Investigating the Working of Text Classifiers.
CoRR
Devendra Singh Sachan, Manzil Zaheer, Ruslan Salakhutdinov
2018 — conf
Parameter Sharing Methods for Multilingual Self-Attentional Translation Models.
WMT
Devendra Singh Sachan, Graham Neubig
2018 J jnl
Parameter Sharing Methods for Multilingual Self-Attentional Translation Models.
CoRR
Devendra Singh Sachan, Graham Neubig
2018 J jnl
Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation.
CoRR
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
2018 — conf
When and Why Are Pre-Trained Word Embeddings Useful for Neural Machine Translation?
NAACL-HLT (2)
Ye Qi, Devendra Singh Sachan, Matthieu Felix, Sarguna Padmanabhan, Graham Neubig
2018 J jnl
When and Why are Pre-trained Word Embeddings Useful for Neural Machine Translation?
CoRR
Ye Qi, Devendra Singh Sachan, Matthieu Felix, Sarguna Janani Padmanabhan, Graham Neubig
2018 — conf
XNMT: The eXtensible Neural Machine Translation Toolkit.
AMTA (1)
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
2018 J jnl
XNMT: The eXtensible Neural Machine Translation Toolkit.
CoRR
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
2017 J jnl
Effective Use of Bidirectional Language Modeling for Medical Named Entity Recognition.
CoRR
Devendra Singh Sachan, Pengtao Xie, Eric P. Xing
2015 J jnl
Class Vectors: Embedding representation of Document Classes.
CoRR
Devendra Singh Sachan, Shailesh Kumar
2013 — conf
Sports Video Classification from Multimodal Information Using Deep Neural Networks.
AAAI Fall Symposia
Devendra Singh Sachan, Umesh Tekwani, Amit Sethi