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Vladimir Karpukhin
Vladimir Karpukhin
facebook AI research
Bestätigte E-Mail-Adresse bei fb.com
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Zitiert von
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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
22022020
Retrieval-augmented generation for knowledge-intensive nlp tasks
P Lewis, E Perez, A Piktus, F Petroni, V Karpukhin, N Goyal, H Küttler, ...
Advances in Neural Information Processing Systems 33, 9459-9474, 2020
15812020
KILT: a benchmark for knowledge intensive language tasks
F Petroni, A Piktus, A Fan, P Lewis, M Yazdani, N De Cao, J Thorne, ...
arXiv preprint arXiv:2009.02252, 2020
3572020
Aligned cross entropy for non-autoregressive machine translation
M Ghazvininejad, V Karpukhin, L Zettlemoyer, O Levy
International Conference on Machine Learning, 3515-3523, 2020
1002020
Cm3: A causal masked multimodal model of the internet
A Aghajanyan, B Huang, C Ross, V Karpukhin, H Xu, N Goyal, D Okhonko, ...
arXiv preprint arXiv:2201.07520, 2022
972022
Training on synthetic noise improves robustness to natural noise in machine translation
V Karpukhin, O Levy, J Eisenstein, M Ghazvininejad
arXiv preprint arXiv:1902.01509, 2019
942019
Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen tau Yih. 2020
V Karpukhin, B Oguz
Dense passage retrieval for opendomain question answering, 2004
852004
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
662020
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
612021
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
562021
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
522021
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
352021
Unified open-domain question answering with structured and unstructured knowledge
B Oguz, X Chen, V Karpukhin, S Peshterliev, D Okhonko, M Schlichtkrull, ...
arXiv preprint arXiv:2012.14610, 2020
312020
Sewon Min, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih. 2020
V Karpukhin, B Oguz
Dense passage retrieval for open-domain question answering. CoRR, abs, 2004
212004
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
192020
Nonparametric decoding for generative retrieval
H Lee, J Kim, H Chang, H Oh, S Yang, V Karpukhin, Y Lu, M Seo
Findings of the Association for Computational Linguistics: ACL 2023, 12642-12661, 2023
42023
Discourse-Aware Soft Prompting for Text Generation
M Ghazvininejad, V Karpukhin, V Gor, A Celikyilmaz
arXiv preprint arXiv:2112.05717, 2021
42021
Discourse-aware prompt design for text generation
M Ghazvininejad, V Karpukhin, A Celikyilmaz
arXiv preprint arXiv:2112.05717, 2021
42021
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