Badr Youbi Idrissi

13 papers A* 2Journal 9Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
Beyond Multi-Token Prediction: Pretraining LLMs with Future Summaries.
CoRR
Divyat Mahajan, Sachin Goyal, Badr Youbi Idrissi, Mohammad Pezeshki, Ioannis Mitliagkas, David Lopez-Paz, Kartik Ahuja
2025 J jnl
CWM: An Open-Weights LLM for Research on Code Generation with World Models.
CoRR
FAIR CodeGen team, Jade Copet, Quentin Carbonneaux, Gal Cohen, Jonas Gehring, Jacob Kahn, Jannik Kossen, Felix Kreuk, Emily McMilin, Michel Meyer, Yuxiang Wei, David Zhang, Kunhao Zheng, Jordi Armengol-Estapé, Pedram Bashiri, Maximilian Beck, Pierre Chambon, Abhishek Charnalia, Chris Cummins, Juliette Decugis, Zacharias V. Fisches, François Fleuret, Fabian Gloeckle, Alex Gu, Michael Hassid, Daniel Haziza, Badr Youbi Idrissi, Christian Keller, Rahul Kindi, Hugh Leather, Gallil Maimon, Aram H. Markosyan, Francisco Massa, Pierre-Emmanuel Mazaré, Vegard Mella, Naila Murray, Keyur Muzumdar, Peter W. O'Hearn, Matteo Pagliardini, Dmitrii Pedchenko, Tal Remez, Volker Seeker, Marco Selvi, Oren Sultan, Sida Wang, Luca Wehrstedt, Ori Yoran, Lingming Zhang, Taco Cohen, Yossi Adi, Gabriel Synnaeve
2025 J jnl
From Bytes to Ideas: Language Modeling with Autoregressive U-Nets.
CoRR
Mathurin Videau, Badr Youbi Idrissi, Alessandro Ferreira Leite, Marc Schoenauer, Olivier Teytaud, David Lopez-Paz
2025 J jnl
Temperature Matters: Enhancing Watermark Robustness Against Paraphrasing Attacks.
CoRR
Badr Youbi Idrissi, Monica Millunzi, Amelia Sorrenti, Lorenzo Baraldi, Daryna Dementieva
2024 A* conf
Better & Faster Large Language Models via Multi-token Prediction.
ICML
Fabian Gloeckle, Badr Youbi Idrissi, Baptiste Rozière, David Lopez-Paz, Gabriel Synnaeve
2024 J jnl
Better & Faster Large Language Models via Multi-token Prediction.
CoRR
Fabian Gloeckle, Badr Youbi Idrissi, Baptiste Rozière, David Lopez-Paz, Gabriel Synnaeve
2023 A* conf
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations.
ICLR
Badr Youbi Idrissi, Diane Bouchacourt, Randall Balestriero, Ivan Evtimov, Caner Hazirbas, Nicolas Ballas, Pascal Vincent, Michal Drozdzal, David Lopez-Paz, Mark Ibrahim
2022 J jnl
ImageNet-X: Understanding Model Mistakes with Factor of Variation Annotations.
CoRR
Badr Youbi Idrissi, Diane Bouchacourt, Randall Balestriero, Ivan Evtimov, Caner Hazirbas, Nicolas Ballas, Pascal Vincent, Michal Drozdzal, David Lopez-Paz, Mark Ibrahim
2022 — conf
Simple data balancing achieves competitive worst-group-accuracy.
CLeaR
Badr Youbi Idrissi, Martín Arjovsky, Mohammad Pezeshki, David Lopez-Paz
2021 J jnl
Masked Adversarial Generation for Neural Machine Translation.
CoRR
Badr Youbi Idrissi, Stéphane Clinchant
2021 J jnl
Simple data balancing achieves competitive worst-group-accuracy.
CoRR
Badr Youbi Idrissi, Martín Arjovsky, Mohammad Pezeshki, David Lopez-Paz
2021 — conf
VirAAL: Virtual Adversarial Active Learning for NLU.
SLT
Grégory Senay, Badr Youbi Idrissi, Marine Haziza
2020 J jnl
VirAAL: Virtual Adversarial Active Learning.
CoRR
Grégory Senay, Badr Youbi Idrissi, Marine Haziza