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ORCIDGautier Izacard
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2020 – today
- 2022
[i11]Fabio Petroni, Samuel Broscheit, Aleksandra Piktus, Patrick 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)- 2021
- [c7]Gautier Izacard, Edouard Grave:
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering. EACL 2021: 874-880 - [c6]Nicola De Cao, Gautier Izacard, Sebastian Riedel, Fabio Petroni:
Autoregressive Entity Retrieval. ICLR 2021 - [c5]Gautier Izacard, Edouard Grave:
Distilling Knowledge from Reader to Retriever for Question Answering. ICLR 2021 - [i10]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) - [i9]Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave:
Towards Unsupervised Dense Information Retrieval with Contrastive Learning. CoRR abs/2112.09118 (2021) - [i8]Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Dmytro Okhonko, Samuel Broscheit, Gautier Izacard, Patrick 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) - [i7]Alaaeldin El-Nouby, Gautier Izacard, Hugo Touvron, Ivan Laptev, Hervé Jégou, Edouard Grave:
Are Large-scale Datasets Necessary for Self-Supervised Pre-training? CoRR abs/2112.10740 (2021) - 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 - [i6]Gautier Izacard, Edouard Grave:
Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering. CoRR abs/2007.01282 (2020) - [i5]Nicola De Cao, Gautier Izacard, Sebastian Riedel, Fabio Petroni:
Autoregressive Entity Retrieval. CoRR abs/2010.00904 (2020) - [i4]Gautier Izacard, Edouard Grave:
Distilling Knowledge from Reader to Retriever for Question Answering. CoRR abs/2012.04584 (2020) - [i3]Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Sebastian Riedel, Edouard Grave:
A Memory Efficient Baseline for Open Domain Question Answering. CoRR abs/2012.15156 (2020)
2010 – 2019
- 2019
- [c3]Gautier Izacard, Brett Bernstein, Carlos Fernandez-Granda:
A Learning-based Framework for Line-spectra Super-resolution. ICASSP 2019: 3632-3636 - [c2]Gautier Izacard, Sreyas Mohan, Carlos Fernandez-Granda:
Data-driven Estimation of Sinusoid Frequencies. NeurIPS 2019: 5128-5138 - [i2]Gautier Izacard, Sreyas Mohan, Carlos Fernandez-Granda:
Data-driven Estimation of Sinusoid Frequencies. CoRR abs/1906.00823 (2019) - 2018
- [c1]Raphaël Dang-Nhu, Thibault Dardinier, Benjamin Doerr, Gautier Izacard, Dorian Nogneng:
A new analysis method for evolutionary optimization of dynamic and noisy objective functions. GECCO 2018: 1467-1474 - [i1]Gautier Izacard, Brett Bernstein, Carlos Fernandez-Granda:
A Learning-Based Framework for Line-Spectra Super-resolution. CoRR abs/1811.05844 (2018)
Coauthor Index
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