Algorithm portfolios for noisy optimization. - Marie-Liesse Cauwet; Jialin Liu 001; Baptiste Rozière; Olivier Teytaud (Ann. Math. Artif. Intell., 2016)

EvolGAN: Evolutionary Generative Adversarial Networks. - Baptiste Rozière; Fabien Teytaud; Vlad Hosu; Hanhe Lin; Jérémy Rapin; Mariia Zameshina; Olivier Teytaud (ACCV (4), 2020)

Versatile black-box optimization. - Jialin Liu 001; Antoine Moreau; Mike Preuss; Jérémy Rapin; Baptiste Rozière; Fabien Teytaud; Olivier Teytaud (GECCO, 2020)

Evolutionary super-resolution. - Baptiste Rozière; Nathanaël Carraz Rakotonirina; Vlad Hosu; Hanhe Lin; Andry Rasoanaivo; Olivier Teytaud; Camille Couprie (GECCO Companion, 2020)

Tarsier: Evolving Noise Injection in Super-Resolution GANs. - Baptiste Rozière; Nathanaël Carraz Rakotonirina; Vlad Hosu; Andry Rasoanaivo; Hanhe Lin; Camille Couprie; Olivier Teytaud (ICPR, 2020)

Adversarial Attacks on Linear Contextual Bandits. - Evrard Garcelon; Baptiste Rozière; Laurent Meunier; Jean Tarbouriech; Olivier Teytaud; Alessandro Lazaric; Matteo Pirotta (NeurIPS, 2020)

Unsupervised Translation of Programming Languages. - Baptiste Rozière; Marie-Anne Lachaux; Lowik Chanussot; Guillaume Lample (NeurIPS, 2020)

Polygames: Improved zero learning. - Tristan Cazenave; Yen-Chi Chen; Guan-Wei Chen; Shi-Yu Chen; Xian-Dong Chiu; Julien Dehos; Maria Elsa; Qucheng Gong; Hengyuan Hu; Vasil Khalidov; Cheng-Ling Li; Hsin-I Lin; et al. (J. Int. Comput. Games Assoc., 2020)

DOBF: A Deobfuscation Pre-Training Objective for Programming Languages. - Marie-Anne Lachaux; Baptiste Rozière; Marc Szafraniec; Guillaume Lample (NeurIPS, 2021)

Inspirational Adversarial Image Generation. - Baptiste Rozière; Morgane Rivière; Olivier Teytaud; Jérémy Rapin; Yann LeCun; Camille Couprie (IEEE Trans. Image Process., 2021)

Leveraging Automated Unit Tests for Unsupervised Code Translation. - Baptiste Rozière; Jie Zhang 050; François Charton; Mark Harman; Gabriel Synnaeve; Guillaume Lample (ICLR, 2022)

Black-Box Optimization Revisited: Improving Algorithm Selection Wizards Through Massive Benchmarking. - Laurent Meunier; Herilalaina Rakotoarison; Pak-Kan Wong; Baptiste Rozière; Jérémy Rapin; Olivier Teytaud; Antoine Moreau; Carola Doerr (IEEE Trans. Evol. Comput., 2022)

Unsupervised Translation of Programming Languages. (Traduction Non Supervisée de Langages de Programmation). - Baptiste Rozière (2022)

Code Translation with Compiler Representations. - Marc Szafraniec; Baptiste Rozière; Hugh Leather; Patrick Labatut; François Charton; Gabriel Synnaeve (ICLR, 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 001; Eric Hambro; Faisal Azhar; Aurélien Rodriguez; Armand Joulin; et al. (CoRR, 2023)

Leveraging Static Analysis for Bug Repair. - Ruba Mutasim; Gabriel Synnaeve; David Pichardie; Baptiste Rozière (CoRR, 2023)

Code Llama: Open Foundation Models for Code. - Baptiste Rozière; Jonas Gehring; Fabian Gloeckle; Sten Sootla; Itai Gat; Xiaoqing Ellen Tan; Yossi Adi; Jingyu Liu; Tal Remez; Jérémy Rapin; Artyom Kozhevnikov; Ivan Evtimov; et al. (CoRR, 2023)

Large Language Models for Compiler Optimization. - Chris Cummins; Volker Seeker; Dejan Grubisic; Mostafa Elhoushi; Youwei Liang; Baptiste Rozière; Jonas Gehring; Fabian Gloeckle; Kim M. Hazelwood; Gabriel Synnaeve; Hugh Leather (CoRR, 2023)

Decoding Data Quality via Synthetic Corruptions: Embedding-guided Pruning of Code Data. - Yu Yang; Aaditya K. Singh; Mostafa Elhoushi; Anas Mahmoud 002; Kushal Tirumala; Fabian Gloeckle; Baptiste Rozière; Carole-Jean Wu; Ari S. Morcos; Newsha Ardalani (CoRR, 2023)

Augmented Language Models: a Survey. - Grégoire Mialon; Roberto Dessì; Maria Lomeli; Christoforos Nalmpantis; Ramakanth Pasunuru; Roberta Raileanu; Baptiste Rozière; Timo Schick; Jane Dwivedi-Yu; Asli Celikyilmaz; Edouard Grave; Yann LeCun; et al. (Trans. Mach. Learn. Res., 2023)

Getting the most out of your tokenizer for pre-training and domain adaptation. - Gautier Dagan; Gabriel Synnaeve; Baptiste Rozière (ICML, 2024)

Better & Faster Large Language Models via Multi-token Prediction. - Fabian Gloeckle; Badr Youbi Idrissi; Baptiste Rozière; David Lopez-Paz; Gabriel Synnaeve (ICML, 2024)

CRUXEval: A Benchmark for Code Reasoning, Understanding and Execution. - Alex Gu; Baptiste Rozière; Hugh James Leather; Armando Solar-Lezama; Gabriel Synnaeve; Sida Wang 001 (ICML, 2024)

Branch-Train-MiX: Mixing Expert LLMs into a Mixture-of-Experts LLM. - Sainbayar Sukhbaatar; Olga Golovneva; Vasu Sharma; Hu Xu 001; Xi Victoria Lin; Baptiste Rozière; Jacob Kahn; Daniel Li 006; Wen-tau Yih; Jason Weston; Xian Li 003 (CoRR, 2024)

Meta Large Language Model Compiler: Foundation Models of Compiler Optimization. - Chris Cummins; Volker Seeker; Dejan Grubisic; Baptiste Rozière; Jonas Gehring; Gabriel Synnaeve; Hugh Leather (CoRR, 2024)

The Llama 3 Herd of Models. - Abhimanyu Dubey; Abhinav Jauhri; Abhinav Pandey; Abhishek Kadian; Ahmad Al-Dahle; Aiesha Letman; Akhil Mathur; Alan Schelten; Amy Yang; Angela Fan; Anirudh Goyal; Anthony Hartshorn; et al. (CoRR, 2024)

Pixtral 12B. - Pravesh Agrawal; Szymon Antoniak; Emma Bou Hanna; Baptiste Bout; Devendra Singh Chaplot; Jessica Chudnovsky; Diogo Costa; Baudouin De Monicault; Saurabh Garg; Théophile Gervet; Soham Ghosh; Amélie Héliou; et al. (CoRR, 2024)

LLM Compiler: Foundation Language Models for Compiler Optimization. - Chris Cummins; Volker Seeker; Dejan Grubisic; Baptiste Rozière; Jonas Gehring; Gabriel Synnaeve; Hugh Leather (CC, 2025)

TestGenEval: A Real World Unit Test Generation and Test Completion Benchmark. - Kush Jain; Gabriel Synnaeve; Baptiste Rozière (ICLR, 2025)

BigO(Bench) - Can LLMs Generate Code with Controlled Time and Space Complexity? - Pierre Chambon; Baptiste Rozière; Benoît Sagot; Gabriel Synnaeve (CoRR, 2025)

Magistral. - Abhinav Rastogi; Albert Q. Jiang; Andy Lo; Gabrielle Berrada; Guillaume Lample; Jason Rute; Joep Barmentlo; Karmesh Yadav; Kartik Khandelwal; Khyathi Raghavi Chandu; Léonard Blier; Lucile Saulnier; et al. (CoRR, 2025)

Voxtral. - Alexander H. Liu; Andy Ehrenberg; Andy Lo; Clément Denoix; Corentin Barreau; Guillaume Lample; Jean-Malo Delignon; Khyathi Raghavi Chandu; Patrick von Platen; Pavankumar Reddy Muddireddy; Sanchit Gandhi; Soham Ghosh; et al. (CoRR, 2025)