Gautier Izacard

According to our database, Gautier Izacard authored at least 21 papers between 2018 and 2023.

Collaborative distances:

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

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

ResMLP: Feedforward Networks for Image Classification With Data-Efficient Training.

Hugo Touvron, Piotr Bojanowski, Mathilde Caron, Matthieu Cord, Alaaeldin El-Nouby, Edouard Grave, Gautier Izacard, Armand Joulin, Gabriel Synnaeve, Jakob Verbeek, Hervé Jégou

IEEE Trans. Pattern Anal. Mach. Intell., April, 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

LLaMA: Open and Efficient Foundation Language Models.

Hugo Touvron, Thibaut Lavril, Gautier Izacard, Xavier Martinet, Marie-Anne Lachaux, Timothée Lacroix, Baptiste Rozière, Naman Goyal, Eric Hambro, Faisal Azhar, Aurélien Rodriguez, Armand Joulin, Edouard Grave, Guillaume Lample

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

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

Unsupervised Dense Information Retrieval with Contrastive Learning.

Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave

Trans. Mach. Learn. Res., 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

2021

Are Large-scale Datasets Necessary for Self-Supervised Pre-training?

Alaaeldin El-Nouby, Gautier Izacard, Hugo Touvron, Ivan Laptev, Hervé Jégou, Edouard Grave

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 S. H. Lewis, Barlas Oguz, Edouard Grave, Wen-tau Yih, Sebastian Riedel

CoRR, 2021

Towards Unsupervised Dense Information Retrieval with Contrastive Learning.

Gautier Izacard, Mathilde Caron, Lucas Hosseini, Sebastian Riedel, Piotr Bojanowski, Armand Joulin, Edouard Grave

CoRR, 2021

Distilling Knowledge from Reader to Retriever for Question Answering.

Gautier Izacard, Edouard Grave

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

Autoregressive Entity Retrieval.

Nicola De Cao, Gautier Izacard, Sebastian Riedel, Fabio Petroni

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

Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering.

Gautier Izacard, Edouard Grave

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

2020

A Memory Efficient Baseline for Open Domain Question Answering.

Gautier Izacard, Fabio Petroni, Lucas Hosseini, Nicola De Cao, Sebastian Riedel, Edouard Grave

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

2019

Data-driven Estimation of Sinusoid Frequencies.

Gautier Izacard, Sreyas Mohan, Carlos Fernandez-Granda

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A Learning-based Framework for Line-spectra Super-resolution.

Gautier Izacard, Brett Bernstein, Carlos Fernandez-Granda

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

A new analysis method for evolutionary optimization of dynamic and noisy objective functions.

Raphaël Dang-Nhu, Thibault Dardinier, Benjamin Doerr, Gautier Izacard, Dorian Nogneng

Proceedings of the Genetic and Evolutionary Computation Conference, 2018