Interpretation of Natural Language Rules in Conversational Machine Reading. - Marzieh Saeidi; Max Bartolo; Patrick Lewis 001; Sameer Singh 001; Tim Rocktäschel; Mike Sheldon; Guillaume Bouchard; Sebastian Riedel 001 (EMNLP, 2018)

Unsupervised Question Answering by Cloze Translation. - Patrick Lewis 001; Ludovic Denoyer; Sebastian Riedel 001 (ACL (1), 2019)

Language Models as Knowledge Bases? - Fabio Petroni; Tim Rocktäschel; Sebastian Riedel 001; Patrick Lewis 001; Anton Bakhtin; Yuxiang Wu; Alexander H. Miller (EMNLP/IJCNLP (1), 2019)

Understanding and predicting disease relationships through similarity fusion. - Erin Oerton; Ian Roberts; Patrick S. H. Lewis; Tim Guilliams; Andreas Bender 002 (Bioinform., 2019)

Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art. - Patrick Lewis 001; Myle Ott; Jingfei Du; Veselin Stoyanov (ClinicalNLP@EMNLP, 2020)

MLQA: Evaluating Cross-lingual Extractive Question Answering. - Patrick Lewis 001; Barlas Oguz; Ruty Rinott; Sebastian Riedel 001; Holger Schwenk (ACL, 2020)

How Context Affects Language Models' Factual Predictions. - Fabio Petroni; Patrick Lewis 001; Aleksandra Piktus; Tim Rocktäschel; Yuxiang Wu; Alexander H. Miller; Sebastian Riedel 001 (AKBC, 2020)

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)

Unsupervised Question Decomposition for Question Answering. - Ethan Perez; Patrick Lewis 001; Wen-tau Yih; Kyunghyun Cho; Douwe Kiela (EMNLP (1), 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)

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; Vassilis Plachouras; Tim Rocktäschel; Sebastian Riedel 001 (CoRR, 2020)

Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets. - Patrick Lewis 001; Pontus Stenetorp; Sebastian Riedel 001 (EACL, 2021)

Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. - Wenhan Xiong; Xiang Lorraine Li; Srini Iyer 001; Jingfei Du; Patrick Lewis 001; William Yang Wang; Yashar Mehdad; Scott Yih; Sebastian Riedel 001; Douwe Kiela; Barlas Oguz (ICLR, 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)

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)

PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them. - Patrick Lewis 001; Yuxiang Wu; Linqing Liu; Pasquale Minervini; Heinrich Küttler; Aleksandra Piktus; Pontus Stenetorp; Sebastian Riedel 001 (Trans. Assoc. Comput. Linguistics, 2021)

Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? - Xilun Chen 002; Kushal Lakhotia; Barlas Oguz; Anchit Gupta; Patrick S. H. Lewis; Stan Peshterliev; Yashar Mehdad; Sonal Gupta; Wen-tau Yih (EMNLP (Findings), 2022)

A Few More Examples May Be Worth Billions of Parameters. - Yuval Kirstain; Patrick Lewis 001; Sebastian Riedel 001; Omer Levy (EMNLP (Findings), 2022)

Boosted Dense Retriever. - Patrick Lewis 001; Barlas Oguz; Wenhan Xiong; Fabio Petroni; Scott Yih; Sebastian Riedel 001 (NAACL-HLT, 2022)

Challenges in Generalization in Open Domain Question Answering. - Linqing Liu; Patrick Lewis 001; Sebastian Riedel 001; Pontus Stenetorp (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)

Autoregressive Search Engines: Generating Substrings as Document Identifiers. - Michele Bevilacqua; Giuseppe Ottaviano; Patrick Lewis 001; Scott Yih; Sebastian Riedel 001; Fabio Petroni (NeurIPS, 2022)

Improving Wikipedia Verifiability with AI. - Fabio Petroni; Samuel Broscheit; Aleksandra Piktus; Patrick Lewis 001; Gautier Izacard; Lucas Hosseini; Jane Dwivedi-Yu; Maria Lomeli; Timo Schick; Pierre-Emmanuel Mazaré; Armand Joulin; Edouard Grave; et al. (CoRR, 2022)

Few-shot Learning with Retrieval Augmented Language Models. - Gautier Izacard; Patrick Lewis 001; Maria Lomeli; Lucas Hosseini; Fabio Petroni; Timo Schick; Jane Dwivedi-Yu; Armand Joulin; Sebastian Riedel 001; Edouard Grave (CoRR, 2022)

EditEval: An Instruction-Based Benchmark for Text Improvements. - Jane Dwivedi-Yu; Timo Schick; Zhengbao Jiang; Maria Lomeli; Patrick Lewis 001; Gautier Izacard; Edouard Grave; Sebastian Riedel 001; Fabio Petroni (CoRR, 2022)

Task-aware Retrieval with Instructions. - Akari Asai; Timo Schick; Patrick Lewis 001; Xilun Chen 002; Gautier Izacard; Sebastian Riedel 001; Hannaneh Hajishirzi; Wen-tau Yih (ACL (Findings), 2023)

Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training. - Kelly Marchisio; Patrick S. H. Lewis; Yihong Chen; Mikel Artetxe (ACL (Findings), 2023)

PEER: A Collaborative Language Model. - Timo Schick; Jane A. Yu; Zhengbao Jiang; Fabio Petroni; Patrick Lewis 001; Gautier Izacard; Qingfei You; Christoforos Nalmpantis; Edouard Grave; Sebastian Riedel 001 (ICLR, 2023)

Atlas: Few-shot Learning with Retrieval Augmented Language Models. - Gautier Izacard; Patrick Lewis 001; Maria Lomeli; Lucas Hosseini; Fabio Petroni; Timo Schick; Jane Dwivedi-Yu; Armand Joulin; Sebastian Riedel 001; Edouard Grave (J. Mach. Learn. Res., 2023)

Reasoning over Public and Private Data in Retrieval-Based Systems. - Simran Arora; Patrick S. H. Lewis; Angela Fan; Jacob Kahn; Christopher Ré (Trans. Assoc. Comput. Linguistics, 2023)

Improving Wikipedia verifiability with AI. - Fabio Petroni; Samuel Broscheit; Aleksandra Piktus; Patrick Lewis 001; Gautier Izacard; Lucas Hosseini; Jane Dwivedi-Yu; Maria Lomeli; Timo Schick; Michele Bevilacqua; Pierre-Emmanuel Mazaré; Armand Joulin; et al. (Nat. Mac. Intell., 2023)

MultiContrievers: Analysis of Dense Retrieval Representations. - Seraphina Goldfarb-Tarrant; Pedro Rodriguez 001; Jane Dwivedi-Yu; Patrick S. H. Lewis (CoRR, 2024)

FLARE: Faithful Logic-Aided Reasoning and Exploration. - Erik Arakelyan; Pasquale Minervini; Pat Verga; Patrick S. H. Lewis; Isabelle Augenstein (CoRR, 2024)