Patrick S. H. Lewis

According to our database, Patrick S. H. Lewis authored at least 34 papers between 2018 and 2024.

Collaborative distances:

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

2024

MultiContrievers: Analysis of Dense Retrieval Representations.

Seraphina Goldfarb-Tarrant, Pedro Rodriguez, Jane Dwivedi-Yu, Patrick S. H. Lewis

CoRR, 2024

2023

Improving Wikipedia verifiability with AI.

Fabio Petroni, Samuel Broscheit, Aleksandra Piktus, Patrick S. H. Lewis, Gautier Izacard, Lucas Hosseini, Jane Dwivedi-Yu, Maria Lomeli, Timo Schick, Michele Bevilacqua, Pierre-Emmanuel Mazaré, Armand Joulin, Edouard Grave, Sebastian Riedel

Nat. Mac. Intell., October, 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

Atlas: Few-shot Learning with Retrieval Augmented Language Models.

Gautier Izacard, Patrick S. H. Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave

J. Mach. Learn. Res., 2023

Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models.

Xinyu Zhang, Sebastian Hofstätter, Patrick S. H. Lewis, Raphael Tang, Jimmy Lin

CoRR, 2023

PEER: A Collaborative Language Model.

Timo Schick, Jane A. Yu, Zhengbao Jiang, Fabio Petroni, Patrick S. H. Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel

Proceedings of the Eleventh International Conference on Learning Representations, 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

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

Task-aware Retrieval with Instructions.

Akari Asai, Timo Schick, Patrick S. H. Lewis, Xilun Chen, Gautier Izacard, Sebastian Riedel, Hannaneh Hajishirzi, Wen-tau Yih

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

2022

EditEval: An Instruction-Based Benchmark for Text Improvements.

Jane Dwivedi-Yu, Timo Schick, Zhengbao Jiang, Maria Lomeli, Patrick S. H. Lewis, Gautier Izacard, Edouard Grave, Sebastian Riedel, Fabio Petroni

CoRR, 2022

Few-shot Learning with Retrieval Augmented Language Models.

Gautier Izacard, Patrick S. H. Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave

CoRR, 2022

Improving Wikipedia Verifiability with AI.

Fabio Petroni, Samuel Broscheit, Aleksandra Piktus, Patrick S. H. Lewis, Gautier Izacard, Lucas Hosseini, Jane Dwivedi-Yu, Maria Lomeli, Timo Schick, Pierre-Emmanuel Mazaré, Armand Joulin, Edouard Grave, Sebastian Riedel

CoRR, 2022

Autoregressive Search Engines: Generating Substrings as Document Identifiers.

Michele Bevilacqua, Giuseppe Ottaviano, Patrick S. H. Lewis, Scott Yih, Sebastian Riedel, Fabio Petroni

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Challenges in Generalization in Open Domain Question Answering.

Linqing Liu, Patrick S. H. Lewis, Sebastian Riedel, Pontus Stenetorp

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

Boosted Dense Retriever.

Patrick S. H. Lewis, Barlas Oguz, Wenhan Xiong, Fabio Petroni, Scott Yih, Sebastian Riedel

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

A Few More Examples May Be Worth Billions of Parameters.

Yuval Kirstain, Patrick S. H. Lewis, Sebastian Riedel, Omer Levy

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

Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One?

Xilun Chen, Kushal Lakhotia, Barlas Oguz, Anchit Gupta, Patrick S. H. Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, Wen-tau Yih

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

2021

PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them.

Patrick S. H. Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich Küttler, Aleksandra Piktus, Pontus Stenetorp, Sebastian Riedel

Trans. Assoc. Comput. Linguistics, 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

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

Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval.

Wenhan Xiong, Xiang Lorraine Li, Srini Iyer, Jingfei Du, Patrick S. H. Lewis, William Yang Wang, Yashar Mehdad, Scott Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz

Proceedings of the 9th International Conference on Learning Representations, 2021

Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets.

Patrick S. H. Lewis, Pontus Stenetorp, Sebastian Riedel

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

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, Vassilis Plachouras, Tim Rocktäschel, Sebastian Riedel

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

Unsupervised Question Decomposition for Question Answering.

Ethan Perez, Patrick S. H. Lewis, Wen-tau Yih, Kyunghyun Cho, Douwe Kiela

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

How Context Affects Language Models' Factual Predictions.

Fabio Petroni, Patrick S. H. Lewis, Aleksandra Piktus, Tim Rocktäschel, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel

Proceedings of the Conference on Automated Knowledge Base Construction, 2020

MLQA: Evaluating Cross-lingual Extractive Question Answering.

Patrick S. H. Lewis, Barlas Oguz, Ruty Rinott, Sebastian Riedel, Holger Schwenk

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art.

Patrick S. H. Lewis, Myle Ott, Jingfei Du, Veselin Stoyanov

Proceedings of the 3rd Clinical Natural Language Processing Workshop, 2020

2019

Understanding and predicting disease relationships through similarity fusion.

Erin Oerton, Ian Roberts, Patrick S. H. Lewis, Tim Guilliams, Andreas Bender

Bioinform., 2019

Language Models as Knowledge Bases?

Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick S. H. Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H. Miller

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Unsupervised Question Answering by Cloze Translation.

Patrick S. H. Lewis, Ludovic Denoyer, Sebastian Riedel

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Interpretation of Natural Language Rules in Conversational Machine Reading.

Marzieh Saeidi, Max Bartolo, Patrick S. H. Lewis, Sameer Singh, Tim Rocktäschel, Mike Sheldon, Guillaume Bouchard, Sebastian Riedel

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018