Karpukhin, Vladimir

Dense Passage Retrieval for Open-Domain Question Answering

Karpukhin, V., Oğuz, B., Min, S., Lewis, P., Wu, L., Edunov, S., Chen, D., & Yih, W.-T. (2020) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 5,311

Dense passage retrieval for open-domain question answering

Karpukhin, V., Oguz, B., Min, S., Lewis, P., Wu, L., Edunov, S., Chen, D., & Yih, W.-T. (2020) · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 3,575

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Lewis, P., Perez, E., Piktus, A., Petroni, F., Karpukhin, V., Goyal, N., Küttler, H., Lewis, M., Yih, W.-T., Rocktäschel, T., et al. (2020) · arXiv

Safety Systems Engineering in AutonomyEthics and Social Impacts of AI

Cited by 3,101

CM3: A Causal Masked Multimodal Model of the Internet

Aghajanyan, A., Huang, B., Ross, C., Karpukhin, V., Xu, H., Goyal, N., Okhonko, D., Joshi, M., Ghosh, G., Lewis, M., et al. (2022) · arXiv

Multimodal Machine Learning ApplicationsTopic Modeling

Cited by 42

The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus

Piktus, A., Petroni, F., Karpukhin, V., Okhonko, D., Broscheit, S., Izacard, G., Lewis, P., Oğuz, B., Grave, E., Yih, W.-T., et al. (2021) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 22

Nonparametric Decoding for Generative Retrieval

Lee, H., Kim, J., Chang, H., Oh, H., Yang, S., Karpukhin, V., Lu, Y., & Seo, M. (2023) · Findings of the Association for Computational Linguistics: ACL 2023

Information Retrieval and Search BehaviorTopic Modeling

Cited by 9