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2020 – today
- 2024
[i29]Seraphina Goldfarb-Tarrant, Pedro Rodriguez, Jane Dwivedi-Yu, Patrick S. H. Lewis:
MultiContrievers: Analysis of Dense Retrieval Representations. CoRR abs/2402.15925 (2024)- [i28]Erik Arakelyan, Pasquale Minervini, Pat Verga, Patrick S. H. Lewis, Isabelle Augenstein:
FLARE: Faithful Logic-Aided Reasoning and Exploration. CoRR abs/2410.11900 (2024) - 2023
- [j5]Gautier Izacard, Patrick S. H. Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave:
Atlas: Few-shot Learning with Retrieval Augmented Language Models. J. Mach. Learn. Res. 24: 251:1-251:43 (2023) - [j4]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:
Improving Wikipedia verifiability with AI. Nat. Mac. Intell. 5(10): 1142-1148 (2023) - [j3]Simran Arora, Patrick S. H. Lewis, Angela Fan, Jacob Kahn, Christopher Ré:
Reasoning over Public and Private Data in Retrieval-Based Systems. Trans. Assoc. Comput. Linguistics 11: 902-921 (2023) - [c22]Akari Asai, Timo Schick, Patrick S. H. Lewis, Xilun Chen, Gautier Izacard, Sebastian Riedel, Hannaneh Hajishirzi, Wen-tau Yih:
Task-aware Retrieval with Instructions. ACL (Findings) 2023: 3650-3675 - [c21]Kelly Marchisio, Patrick S. H. Lewis, Yihong Chen, Mikel Artetxe:
Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training. ACL (Findings) 2023: 5474-5490 - [c20]Timo Schick, Jane A. Yu, Zhengbao Jiang, Fabio Petroni, Patrick S. H. Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel:
PEER: A Collaborative Language Model. ICLR 2023 - [i27]Xinyu Zhang, Sebastian Hofstätter, Patrick S. H. Lewis, Raphael Tang, Jimmy Lin:
Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models. CoRR abs/2312.02969 (2023) - 2022
- [c19]Xilun Chen, Kushal Lakhotia, Barlas Oguz, Anchit Gupta, Patrick S. H. Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, Wen-tau Yih:
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? EMNLP (Findings) 2022: 250-262 - [c18]Yuval Kirstain, Patrick S. H. Lewis, Sebastian Riedel, Omer Levy:
A Few More Examples May Be Worth Billions of Parameters. EMNLP (Findings) 2022: 1017-1029 - [c17]Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick S. H. Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Scott Yih, Sonal Gupta, Yashar Mehdad:
Domain-matched Pre-training Tasks for Dense Retrieval. NAACL-HLT (Findings) 2022: 1524-1534 - [c16]Linqing Liu, Patrick S. H. Lewis, Sebastian Riedel, Pontus Stenetorp:
Challenges in Generalization in Open Domain Question Answering. NAACL-HLT (Findings) 2022: 2014-2029 - [c15]Patrick S. H. Lewis, Barlas Oguz, Wenhan Xiong, Fabio Petroni, Scott Yih, Sebastian Riedel:
Boosted Dense Retriever. NAACL-HLT 2022: 3102-3117 - [c14]Michele Bevilacqua, Giuseppe Ottaviano, Patrick S. H. Lewis, Scott Yih, Sebastian Riedel, Fabio Petroni:
Autoregressive Search Engines: Generating Substrings as Document Identifiers. NeurIPS 2022 - [i26]Simran Arora, Patrick S. H. Lewis, Angela Fan, Jacob Kahn, Christopher Ré:
Reasoning over Public and Private Data in Retrieval-Based Systems. CoRR abs/2203.11027 (2022) - [i25]Michele Bevilacqua, Giuseppe Ottaviano, Patrick S. H. Lewis, Wen-tau Yih, Sebastian Riedel, Fabio Petroni:
Autoregressive Search Engines: Generating Substrings as Document Identifiers. CoRR abs/2204.10628 (2022) - [i24]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:
Improving Wikipedia Verifiability with AI. CoRR abs/2207.06220 (2022) - [i23]Gautier Izacard, Patrick S. H. Lewis, Maria Lomeli, Lucas Hosseini, Fabio Petroni, Timo Schick, Jane Dwivedi-Yu, Armand Joulin, Sebastian Riedel, Edouard Grave:
Few-shot Learning with Retrieval Augmented Language Models. CoRR abs/2208.03299 (2022) - [i22]Timo Schick, Jane Dwivedi-Yu, Zhengbao Jiang, Fabio Petroni, Patrick S. H. Lewis, Gautier Izacard, Qingfei You, Christoforos Nalmpantis, Edouard Grave, Sebastian Riedel:
PEER: A Collaborative Language Model. CoRR abs/2208.11663 (2022) - [i21]Jane Dwivedi-Yu, Timo Schick, Zhengbao Jiang, Maria Lomeli, Patrick S. H. Lewis, Gautier Izacard, Edouard Grave, Sebastian Riedel, Fabio Petroni:
EditEval: An Instruction-Based Benchmark for Text Improvements. CoRR abs/2209.13331 (2022) - [i20]Akari Asai, Timo Schick, Patrick S. H. Lewis, Xilun Chen, Gautier Izacard, Sebastian Riedel, Hannaneh Hajishirzi, Wen-tau Yih:
Task-aware Retrieval with Instructions. CoRR abs/2211.09260 (2022) - [i19]Kelly Marchisio, Patrick S. H. Lewis, Yihong Chen, Mikel Artetxe:
Mini-Model Adaptation: Efficiently Extending Pretrained Models to New Languages via Aligned Shallow Training. CoRR abs/2212.10503 (2022) - 2021
- [j2]Patrick S. H. Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich Küttler, Aleksandra Piktus, Pontus Stenetorp, Sebastian Riedel:
PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them. Trans. Assoc. Comput. Linguistics 9: 1098-1115 (2021) - [c13]Patrick S. H. Lewis, Pontus Stenetorp, Sebastian Riedel:
Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets. EACL 2021: 1000-1008 - [c12]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:
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. ICLR 2021 - [c11]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:
KILT: a Benchmark for Knowledge Intensive Language Tasks. NAACL-HLT 2021: 2523-2544 - [i18]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:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. CoRR abs/2101.00133 (2021) - [i17]Patrick S. H. Lewis, Yuxiang Wu, Linqing Liu, Pasquale Minervini, Heinrich Küttler, Aleksandra Piktus, Pontus Stenetorp, Sebastian Riedel:
PAQ: 65 Million Probably-Asked Questions and What You Can Do With Them. CoRR abs/2102.07033 (2021) - [i16]Barlas Oguz, Kushal Lakhotia, Anchit Gupta, Patrick S. H. Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Wen-tau Yih, Sonal Gupta, Yashar Mehdad:
Domain-matched Pre-training Tasks for Dense Retrieval. CoRR abs/2107.13602 (2021) - [i15]Linqing Liu, Patrick S. H. Lewis, Sebastian Riedel, Pontus Stenetorp:
Challenges in Generalization in Open Domain Question Answering. CoRR abs/2109.01156 (2021) - [i14]Yuval Kirstain, Patrick S. H. Lewis, Sebastian Riedel, Omer Levy:
A Few More Examples May Be Worth Billions of Parameters. CoRR abs/2110.04374 (2021) - [i13]Xilun Chen, Kushal Lakhotia, Barlas Oguz, Anchit Gupta, Patrick S. H. Lewis, Stan Peshterliev, Yashar Mehdad, Sonal Gupta, Wen-tau Yih:
Salient Phrase Aware Dense Retrieval: Can a Dense Retriever Imitate a Sparse One? CoRR abs/2110.06918 (2021) - [i12]Patrick S. H. Lewis, Barlas Oguz, Wenhan Xiong, Fabio Petroni, Wen-tau Yih, Sebastian Riedel:
Boosted Dense Retriever. CoRR abs/2112.07771 (2021) - [i11]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:
The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus. CoRR abs/2112.09924 (2021) - 2020
- [c10]Patrick S. H. Lewis, Barlas Oguz, Ruty Rinott, Sebastian Riedel, Holger Schwenk:
MLQA: Evaluating Cross-lingual Extractive Question Answering. ACL 2020: 7315-7330 - [c9]Patrick S. H. Lewis, Myle Ott, Jingfei Du, Veselin Stoyanov:
Pretrained Language Models for Biomedical and Clinical Tasks: Understanding and Extending the State-of-the-Art. ClinicalNLP@EMNLP 2020: 146-157 - [c8]Fabio Petroni, Patrick S. H. Lewis, Aleksandra Piktus, Tim Rocktäschel, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel:
How Context Affects Language Models' Factual Predictions. AKBC 2020 - [c7]Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick S. H. Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, Wen-tau Yih:
Dense Passage Retrieval for Open-Domain Question Answering. EMNLP (1) 2020: 6769-6781 - [c6]Ethan Perez, Patrick S. H. Lewis, Wen-tau Yih, Kyunghyun Cho, Douwe Kiela:
Unsupervised Question Decomposition for Question Answering. EMNLP (1) 2020: 8864-8880 - [c5]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:
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. NeurIPS 2020 - [c4]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:
NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned. NeurIPS (Competition and Demos) 2020: 86-111 - [e1]Spandana Gella, Johannes Welbl, Marek Rei, Fabio Petroni, Patrick S. H. Lewis, Emma Strubell, Min Joon Seo, Hannaneh Hajishirzi:
Proceedings of the 5th Workshop on Representation Learning for NLP, RepL4NLP@ACL 2020, Online, July 9, 2020. Association for Computational Linguistics 2020, ISBN 978-1-952148-15-6 [contents] - [i10]Ethan Perez, Patrick S. H. Lewis, Wen-tau Yih, Kyunghyun Cho, Douwe Kiela:
Unsupervised Question Decomposition for Question Answering. CoRR abs/2002.09758 (2020) - [i9]Fabio Petroni, Patrick S. H. Lewis, Aleksandra Piktus, Tim Rocktäschel, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel:
How Context Affects Language Models' Factual Predictions. CoRR abs/2005.04611 (2020) - [i8]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:
Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks. CoRR abs/2005.11401 (2020) - [i7]Patrick S. H. Lewis, Pontus Stenetorp, Sebastian Riedel:
Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets. CoRR abs/2008.02637 (2020) - [i6]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:
KILT: a Benchmark for Knowledge Intensive Language Tasks. CoRR abs/2009.02252 (2020) - [i5]Wenhan Xiong, Xiang Lorraine Li, Srinivasan Iyer, Jingfei Du, Patrick S. H. Lewis, William Yang Wang, Yashar Mehdad, Wen-tau Yih, Sebastian Riedel, Douwe Kiela, Barlas Oguz:
Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval. CoRR abs/2009.12756 (2020)
2010 – 2019
- 2019
- [j1]Erin Oerton, Ian Roberts, Patrick S. H. Lewis, Tim Guilliams, Andreas Bender:
Understanding and predicting disease relationships through similarity fusion. Bioinform. 35(7): 1213-1220 (2019) - [c3]Patrick S. H. Lewis, Ludovic Denoyer, Sebastian Riedel:
Unsupervised Question Answering by Cloze Translation. ACL (1) 2019: 4896-4910 - [c2]Fabio Petroni, Tim Rocktäschel, Sebastian Riedel, Patrick S. H. Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H. Miller:
Language Models as Knowledge Bases? EMNLP/IJCNLP (1) 2019: 2463-2473 - [i4]Patrick S. H. Lewis, Ludovic Denoyer, Sebastian Riedel:
Unsupervised Question Answering by Cloze Translation. CoRR abs/1906.04980 (2019) - [i3]Fabio Petroni, Tim Rocktäschel, Patrick S. H. Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H. Miller, Sebastian Riedel:
Language Models as Knowledge Bases? CoRR abs/1909.01066 (2019) - [i2]Patrick S. H. Lewis, Barlas Oguz, Ruty Rinott, Sebastian Riedel, Holger Schwenk:
MLQA: Evaluating Cross-lingual Extractive Question Answering. CoRR abs/1910.07475 (2019) - 2018
- [c1]Marzieh Saeidi, Max Bartolo, Patrick S. H. Lewis, Sameer Singh, Tim Rocktäschel, Mike Sheldon, Guillaume Bouchard, Sebastian Riedel:
Interpretation of Natural Language Rules in Conversational Machine Reading. EMNLP 2018: 2087-2097 - [i1]Marzieh Saeidi, Max Bartolo, Patrick S. H. Lewis, Sameer Singh, Tim Rocktäschel, Mike Sheldon, Guillaume Bouchard, Sebastian Riedel:
Interpretation of Natural Language Rules in Conversational Machine Reading. CoRR abs/1809.01494 (2018)
Coauthor Index
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