Vladimir Karpukhin

According to our database, Vladimir Karpukhin authored at least 19 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Arcee's MergeKit: A Toolkit for Merging Large Language Models.

Charles Goddard, Shamane Siriwardhana, Malikeh Ehghaghi, Luke Meyers, Vlad Karpukhin, Brian Benedict, Mark McQuade, Jacob Solawetz

CoRR, 2024

2023

Nonparametric Decoding for Generative Retrieval.

Hyunji Lee, JaeYoung Kim, Hoyeon Chang, Hanseok Oh, Sohee Yang, Vladimir Karpukhin, Yi Lu, Minjoon Seo

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Contextualized Generative Retrieval.

Hyunji Lee, Jaeyoung Kim, Hoyeon Chang, Hanseok Oh, Sohee Yang, Vlad Karpukhin, Yi Lu, Minjoon Seo

CoRR, 2022

CM3: A Causal Masked Multimodal Model of the Internet.

Armen Aghajanyan, Bernie Huang, Candace Ross, Vladimir Karpukhin, Hu Xu, Naman Goyal, Dmytro Okhonko, Mandar Joshi, Gargi Ghosh, Mike Lewis, Luke Zettlemoyer

CoRR, 2022

Domain-matched Pre-training Tasks for Dense Retrieval.

Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick S. H. Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Scott Yih, Sonal Gupta, Yashar Mehdad

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering.

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

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Discourse-Aware Soft Prompting for Text Generation.

Marjan Ghazvininejad, Vladimir Karpukhin, Vera Gor, Asli Celikyilmaz

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

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

Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Dmytro Okhonko, Samuel Broscheit, Gautier Izacard, Patrick S. H. Lewis, Barlas Oguz, Edouard Grave, Wen-tau Yih, Sebastian Riedel

CoRR, 2021

Discourse-Aware Prompt Design for Text Generation.

Marjan Ghazvininejad, Vladimir Karpukhin, Asli Celikyilmaz

CoRR, 2021

KILT: a Benchmark for Knowledge Intensive Language Tasks.

Fabio Petroni, Aleksandra Piktus, Angela Fan, Patrick S. H. Lewis, Majid Yazdani, Nicola De Cao, James Thorne, Yacine Jernite, Vladimir Karpukhin, Jean Maillard, Vassilis Plachouras, Tim Rocktäschel, Sebastian Riedel

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Joint Verification and Reranking for Open Fact Checking Over Tables.

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

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Multi-Task Retrieval for Knowledge-Intensive Tasks.

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

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Unified Open-Domain Question Answering with Structured and Unstructured Knowledge.

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

CoRR, 2020

Dense Passage Retrieval for Open-Domain Question Answering.

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

CoRR, 2020

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned.

Sewon Min, Jordan L. Boyd-Graber, Chris Alberti, Danqi Chen, Eunsol Choi, Michael Collins, Kelvin Guu, Hannaneh Hajishirzi, Kenton Lee, Jennimaria Palomaki, Colin Raffel, Adam Roberts, Tom Kwiatkowski, Patrick S. H. Lewis, Yuxiang Wu, Heinrich Küttler, Linqing Liu, Pasquale Minervini, Pontus Stenetorp, Sebastian Riedel, Sohee Yang, Minjoon Seo, Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Edouard Grave, Ikuya Yamada, Sonse Shimaoka, Masatoshi Suzuki, Shumpei Miyawaki, Shun Sato, Ryo Takahashi, Jun Suzuki, Martin Fajcik, Martin Docekal, Karel Ondrej, Pavel Smrz, Hao Cheng, Yelong Shen, Xiaodong Liu, Pengcheng He, Weizhu Chen, Jianfeng Gao, Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Sejr Schlichtkrull, Sonal Gupta, Yashar Mehdad, Wen-tau Yih

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.

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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Aligned Cross Entropy for Non-Autoregressive Machine Translation.

Marjan Ghazvininejad, Vladimir Karpukhin, Luke Zettlemoyer, Omer Levy

Proceedings of the 37th International Conference on Machine Learning, 2020

Dense Passage Retrieval for Open-Domain Question Answering.

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

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

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

Vladimir Karpukhin, Omer Levy, Jacob Eisenstein, Marjan Ghazvininejad

Proceedings of the 5th Workshop on Noisy User-generated Text, 2019