Training on Synthetic Noise Improves Robustness to Natural Noise in Machine Translation. - Vladimir Karpukhin; Omer Levy; Jacob Eisenstein; Marjan Ghazvininejad (W-NUT@EMNLP, 2019)

Dense Passage Retrieval for Open-Domain Question Answering. - Vladimir Karpukhin; Barlas Oguz; Sewon Min; Patrick Lewis 001; Ledell Wu; Sergey Edunov; Danqi Chen 001; Wen-tau Yih (EMNLP (1), 2020)

Aligned Cross Entropy for Non-Autoregressive Machine Translation. - Marjan Ghazvininejad; Vladimir Karpukhin; Luke Zettlemoyer; Omer Levy (ICML, 2020)

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. - Patrick Lewis 001; Ethan Perez; Aleksandra Piktus; Fabio Petroni; Vladimir Karpukhin; Naman Goyal 001; Heinrich Küttler; Mike Lewis; Wen-tau Yih; Tim Rocktäschel; Sebastian Riedel 001; Douwe Kiela (NeurIPS, 2020)

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. - Sewon Min; Jordan L. Boyd-Graber; Chris Alberti; Danqi Chen 001; Eunsol Choi; Michael Collins 001; Kelvin Guu; Hannaneh Hajishirzi; Kenton Lee; Jennimaria Palomaki; Colin Raffel; Adam Roberts; et al. (NeurIPS (Competition and Demos), 2020)

Dense Passage Retrieval for Open-Domain Question Answering. - Vladimir Karpukhin; Barlas Oguz; Sewon Min; Ledell Wu; Sergey Edunov; Danqi Chen 001; Wen-tau Yih (CoRR, 2020)

Unified Open-Domain Question Answering with Structured and Unstructured Knowledge. - Barlas Oguz; Xilun Chen 002; Vladimir Karpukhin; Stan Peshterliev; Dmytro Okhonko; Michael Sejr Schlichtkrull; Sonal Gupta; Yashar Mehdad; Scott Yih (CoRR, 2020)

Multi-Task Retrieval for Knowledge-Intensive Tasks. - Jean Maillard; Vladimir Karpukhin; Fabio Petroni; Wen-tau Yih; Barlas Oguz; Veselin Stoyanov; Gargi Ghosh (ACL/IJCNLP (1), 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 001 (ACL/IJCNLP (1), 2021)

KILT: a Benchmark for Knowledge Intensive Language Tasks. - Fabio Petroni; Aleksandra Piktus; Angela Fan; Patrick Lewis 001; Majid Yazdani; Nicola De Cao; James Thorne; Yacine Jernite; Vladimir Karpukhin; Jean Maillard; Vassilis Plachouras; Tim Rocktäschel; et al. (NAACL-HLT, 2021)

Discourse-Aware Prompt Design for Text Generation. - Marjan Ghazvininejad; Vladimir Karpukhin; Asli Celikyilmaz (CoRR, 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 Lewis 001; Barlas Oguz; Edouard Grave; Wen-tau Yih; Sebastian Riedel 001 (CoRR, 2021)

Discourse-Aware Soft Prompting for Text Generation. - Marjan Ghazvininejad; Vladimir Karpukhin; Vera Gor; Asli Celikyilmaz (EMNLP, 2022)

UniK-QA: Unified Representations of Structured and Unstructured Knowledge for Open-Domain Question Answering. - Barlas Oguz; Xilun Chen 002; Vladimir Karpukhin; Stan Peshterliev; Dmytro Okhonko; Michael Sejr Schlichtkrull; Sonal Gupta; Yashar Mehdad; Scott Yih (NAACL-HLT (Findings), 2022)

Domain-matched Pre-training Tasks for Dense Retrieval. - Barlas Oguz; Kushal Lakhotia; Anchit Gupta; Patrick Lewis 001; Vladimir Karpukhin; Aleksandra Piktus; Xilun Chen 002; Sebastian Riedel 001; Scott Yih; Sonal Gupta; Yashar Mehdad (NAACL-HLT (Findings), 2022)

CM3: A Causal Masked Multimodal Model of the Internet. - Armen Aghajanyan; Bernie Huang; Candace Ross; Vladimir Karpukhin; Hu Xu 001; Naman Goyal 001; Dmytro Okhonko; Mandar Joshi; Gargi Ghosh; Mike Lewis; Luke Zettlemoyer (CoRR, 2022)

Contextualized Generative Retrieval. - Hyunji Lee; Jaeyoung Kim; Hoyeon Chang; Hanseok Oh; Sohee Yang; Vlad Karpukhin; Yi Lu; Minjoon Seo (CoRR, 2022)

Nonparametric Decoding for Generative Retrieval. - Hyunji Lee; Jaeyoung Kim; Hoyeon Chang; Hanseok Oh; Sohee Yang; Vladimir Karpukhin; Yi Lu; Minjoon Seo (ACL (Findings), 2023)

Arcee's MergeKit: A Toolkit for Merging Large Language Models. - Charles Goddard; Shamane Siriwardhana; Malikeh Ehghaghi; Luke Meyers; Vladimir Karpukhin; Brian Benedict; Mark McQuade; Jacob Solawetz (EMNLP (Industry Track), 2024)