Barlas Oğuz
Zitiert von
Zitiert von
Dense passage retrieval for open-domain question answering
V Karpukhin, B Oğuz, S Min, P Lewis, L Wu, S Edunov, D Chen, W Yih
arXiv preprint arXiv:2004.04906, 2020
MLQA: Evaluating cross-lingual extractive question answering
P Lewis, B Oğuz, R Rinott, S Riedel, H Schwenk
arXiv preprint arXiv:1910.07475, 2019
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, ...
arXiv preprint arXiv:2012.14610, 2020
Neurips 2020 efficientqa competition: Systems, analyses and lessons learned
S Min, J Boyd-Graber, C Alberti, D Chen, E Choi, M Collins, K Guu, ...
NeurIPS 2020 Competition and Demonstration Track, 86-111, 2021
Multi-task retrieval for knowledge-intensive tasks
J Maillard, V Karpukhin, F Petroni, W Yih, B Oğuz, V Stoyanov, G Ghosh
arXiv preprint arXiv:2101.00117, 2021
Domain-matched pre-training tasks for dense retrieval
B Oğuz, K Lakhotia, A Gupta, P Lewis, V Karpukhin, A Piktus, X Chen, ...
arXiv preprint arXiv:2107.13602, 2021
Accelerating recurrent neural network training via two stage classes and parallelization
Z Huang, G Zweig, M Levit, B Dumoulin, B Oguz, S Chang
2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 326-331, 2013
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?
X Chen, K Lakhotia, B Oğuz, A Gupta, P Lewis, S Peshterliev, Y Mehdad, ...
arXiv preprint arXiv:2110.06918, 2021
Answering complex open-domain questions with multi-hop dense retrieval
W Xiong, XL Li, S Iyer, J Du, P Lewis, WY Wang, Y Mehdad, W Yih, ...
arXiv preprint arXiv:2009.12756, 2020
Multilingual seq2seq training with similarity loss for cross-lingual document classification
K Yu, H Li, B Oguz
Proceedings of The Third Workshop on Representation Learning for NLP, 175-179, 2018
Stable distributed P2P protocols based on random peer sampling
B Oǧuz, V Anantharam, I Norros
IEEE/ACM Transactions on Networking (TON) 23 (5), 1444-1456, 2015
The Web Is Your Oyster--Knowledge-Intensive NLP against a Very Large Web Corpus
A Piktus, F Petroni, V Karpukhin, D Okhonko, S Broscheit, G Izacard, ...
arXiv preprint arXiv:2112.09924, 2021
Incremental utterance decoder combination for efficient and accurate decoding
S Chang, M Levit, A Lahiri, B Oguz, B Dumoulin
US Patent 9,922,654, 2018
Joint verification and reranking for open fact checking over tables
M Schlichtkrull, V Karpukhin, B Oğuz, M Lewis, W Yih, S Riedel
arXiv preprint arXiv:2012.15115, 2020
Pytext: A seamless path from nlp research to production
A Aly, K Lakhotia, S Zhao, M Mohit, B Oguz, A Arora, S Gupta, C Dewan, ...
arXiv preprint arXiv:1812.08729, 2018
Bit: Robustly binarized multi-distilled transformer
Z Liu, B Oguz, A Pappu, L Xiao, S Yih, M Li, R Krishnamoorthi, Y Mehdad
arXiv preprint arXiv:2205.13016, 2022
Simple local attentions remain competitive for long-context tasks
W Xiong, B Oğuz, A Gupta, X Chen, D Liskovich, O Levy, W Yih, ...
arXiv preprint arXiv:2112.07210, 2021
Bridging the domain gap in cross-lingual document classification
G Lai, B Oguz, Y Yang, V Stoyanov
arXiv preprint arXiv:1909.07009, 2019
Boosted dense retriever
P Lewis, B Oğuz, W Xiong, F Petroni, W Yih, S Riedel
arXiv preprint arXiv:2112.07771, 2021
Stable, scalable, decentralized P2P file sharing with non-altruistic peers
B Oğuz, V Anantharam, I Norros
arXiv preprint arXiv:1107.3166, 2011
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