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Karpukhin Vladimir

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Joint Verification and Reranking for Open Fact Checking Over Tables

Michael Schlichtkrull,Vladimir Karpukhin, Barlas Oğuz, Mike Lewis,Wen-tau Yih,Sebastian Riedel

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Aligned Cross Entropy for Non-Autoregressive Machine Translation

Ghazvininejad Marjan,Karpukhin Vladimir, Zettlemoyer Luke,Levy Omer

ICML, pp.3515-3523, (2020)

Cited by3EIBibtex

Dense Passage Retrieval for Open-Domain Question Answering

Karpukhin Vladimir,Oğuz Barlas,Min Sewon,Wu Ledell, Edunov Sergey, Chen Danqi,Yih Wen-tau

Cited by2Bibtex

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Lewis Patrick,Perez Ethan,Piktus Aleksandara,Petroni Fabio,Karpukhin Vladimir,Goyal Naman,Küttler Heinrich,Lewis Mike,Yih Wen-tau,Rocktäschel Tim,Riedel Sebastian,Kiela Douwe

NeurIPS, (2020)

EIBibtex

Dense Passage Retrieval for Open Domain Question Answering

Vladimir Karpukhin,Barlas Oguz,Sewon Min,Patrick Lewis, Ledell Wu, Sergey Edunov,Danqi Chen,Wen-tau Yih

empirical methods in natural language processing, pp.6769-6781, (2020)

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Unified Open-Domain Question Answering with Structured and Unstructured Knowledge

Barlas Oguz, Xilun Chen,Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Schlichtkrull, Sonal Gupta, Yashar Mehdad,Scott Yih

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Multi-task Retrieval for Knowledge-Intensive Tasks

Jean Maillard,Vladimir Karpukhin,Fabio Petroni,Wen-tau Yih,Barlas Oğuz, Veselin Stoyanov, Gargi Ghosh

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Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation

Vladimir Karpukhin,Omer Levy,Jacob Eisenstein,Marjan Ghazvininejad

W-NUT@EMNLP, (2019): 42-47

Cited by15EIBibtex

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