| 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 | 1973 | 2020 |
| MLQA: Evaluating cross-lingual extractive question answering P Lewis, B Oğuz, R Rinott, S Riedel, H Schwenk arXiv preprint arXiv:1910.07475, 2019 | 357 | 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 | 86* | 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 | 57 | 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 | 52 | 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 | 47 | 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 | 40 | 2020 |
| 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 | 39 | 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 | 34 | 2013 |
| 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 | 29 | 2018 |
| 3dgen: Triplane latent diffusion for textured mesh generation A Gupta, W Xiong, Y Nie, I Jones, B Oğuz arXiv preprint arXiv:2303.05371, 2023 | 28 | 2023 |
| 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 | 28 | 2021 |
| LLM-QAT: Data-Free Quantization Aware Training for Large Language Models Z Liu, B Oguz, C Zhao, E Chang, P Stock, Y Mehdad, Y Shi, ... arXiv preprint arXiv:2305.17888, 2023 | 26 | 2023 |
| 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 | 23 | 2015 |
| 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 | 20 | 2018 |
| Bit: Robustly binarized multi-distilled transformer Z Liu, B Oguz, A Pappu, L Xiao, S Yih, M Li, R Krishnamoorthi, Y Mehdad Advances in neural information processing systems 35, 14303-14316, 2022 | 19 | 2022 |
| 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 | 18 | 2020 |
| Boosted dense retriever P Lewis, B Oğuz, W Xiong, F Petroni, W Yih, S Riedel arXiv preprint arXiv:2112.07771, 2021 | 15 | 2021 |
| Bridging the domain gap in cross-lingual document classification G Lai, B Oguz, Y Yang, V Stoyanov arXiv preprint arXiv:1909.07009, 2019 | 15 | 2019 |
| 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 | 15 | 2018 |
