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)

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

The KoLMogorov Test: Compression by Code Generation. - Ori Yoran; Kunhao Zheng; Fabian Gloeckle; Jonas Gehring; Gabriel Synnaeve; Taco Cohen (ICLR, 2025)