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Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval.

W. Xiong, X. Li, S. Iyer, J. Du, P. Lewis, W. Wang, Y. Mehdad, W. tau Yih, S. Riedel, D. Kiela, and B. Oguz. CoRR, (2020)

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Oguz Karagöz

Muhtar Barlas

Pantelis Barlas

Hulusi Barlas

Irtaza Barlas

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Stable, distributed P2P protocols based on random peer sampling.B. Oguz, V. Anantharam, and I. Norros. Allerton Conference, page 915-919. IEEE, (2012)Dense Passage Retrieval for Open-Domain Question AnsweringV. Karpukhin, B. Oğuz, S. Min, P. Lewis, L. Wu, S. Edunov, D. Chen, and W. Yih. (2020)cite arxiv:2004.04906Comment: EMNLP 2020.VideoOFA: Two-Stage Pre-Training for Video-to-Text Generation.X. Chen, L. Yu, W. Xiong, B. Oguz, Y. Mehdad, and W. tau Yih. CoRR, (2023)Effective Long-Context Scaling of Foundation Models.W. Xiong, J. Liu, I. Molybog, H. Zhang, P. Bhargava, R. Hou, L. Martin, R. Rungta, K. Sankararaman, B. Oguz and 11 other author(s). CoRR, (2023)Mixture-of-Supernets: Improving Weight-Sharing Supernet Training with Architecture-Routed Mixture-of-Experts.G. Jawahar, H. Yang, Y. Xiong, Z. Liu, D. Wang, F. Sun, M. Li, A. Pappu, B. Oguz, M. Abdul-Mageed and 3 other author(s). CoRR, (2023)UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering.B. Oguz, X. Chen, V. Karpukhin, S. Peshterliev, D. Okhonko, M. Schlichtkrull, S. Gupta, Y. Mehdad, and S. Yih. NAACL-HLT (Findings), page 1535-1546. Association for Computational Linguistics, (2022)Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval.W. Xiong, X. Li, S. Iyer, J. Du, P. Lewis, W. Wang, Y. Mehdad, S. Yih, S. Riedel, D. Kiela and 1 other author(s). ICLR, OpenReview.net, (2021)A Study on the Efficiency and Generalization of Light Hybrid Retrievers.M. Luo, S. Jain, A. Gupta, A. Einolghozati, B. Oguz, D. Chatterjee, X. Chen, C. Baral, and P. Heidari. ACL (2), page 1617-1626. Association for Computational Linguistics, (2023)NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned.S. Min, J. Boyd-Graber, C. Alberti, D. Chen, E. Choi, M. Collins, K. Guu, H. Hajishirzi, K. Lee, J. Palomaki and 43 other author(s). CoRR, (2021)NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned.S. Min, J. Boyd-Graber, C. Alberti, D. Chen, E. Choi, M. Collins, K. Guu, H. Hajishirzi, K. Lee, J. Palomaki and 43 other author(s). NeurIPS (Competition and Demos), volume 133 of Proceedings of Machine Learning Research, page 86-111. PMLR, (2020)

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Disambiguation of "Oguz, Barlas"

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Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval.

Please choose a person to relate this publication to

Oguz Karagöz

Muhtar Barlas

Pantelis Barlas

Hulusi Barlas

Irtaza Barlas

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Oguz, Barlas"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval.

Please choose a person to relate this publication to

Oguz Karagöz

Muhtar Barlas

Pantelis Barlas

Hulusi Barlas

Irtaza Barlas

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
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Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval.