StarCoder: may the source be with you! - Raymond Li; Loubna Ben Allal; Yangtian Zi; Niklas Muennighoff; Denis Kocetkov; Chenghao Mou; Marc Marone; Christopher Akiki; Jia Li 015; Jenny Chim; Qian Liu 012; Evgenii Zheltonozhskii; et al. (Trans. Mach. Learn. Res., 2023)

Tree of Problems: Improving structured problem solving with compositionality. - Armel Zebaze; Benoît Sagot; Rachel Bawden (EMNLP, 2024)

OctoPack: Instruction Tuning Code Large Language Models. - Niklas Muennighoff; Qian Liu 012; Armel Randy Zebaze; Qinkai Zheng; Binyuan Hui; Terry Yue Zhuo; Swayam Singh; Xiangru Tang; Leandro von Werra; Shayne Longpre (ICLR, 2024)

Astraios: Parameter-Efficient Instruction Tuning Code Large Language Models. - Terry Yue Zhuo; Armel Zebaze; Nitchakarn Suppattarachai; Leandro von Werra; Harm de Vries; Qian Liu 012; Niklas Muennighoff (CoRR, 2024)

StarCoder 2 and The Stack v2: The Next Generation. - Anton Lozhkov; Raymond Li; Loubna Ben Allal; Federico Cassano; Joel Lamy-Poirier; Nouamane Tazi; Ao Tang; Dmytro Pykhtar; Jiawei Liu 004; Yuxiang Wei 003; Tianyang Liu 003; Max Tian; et al. (CoRR, 2024)

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. - Terry Yue Zhuo; Minh Chien Vu; Jenny Chim; Han Hu; Wenhao Yu 002; Ratnadira Widyasari; Imam Nur Bani Yusuf; Haolan Zhan; Junda He; Indraneil Paul; Simon Brunner; Chen Gong 005; et al. (CoRR, 2024)

mOSCAR: A Large-scale Multilingual and Multimodal Document-level Corpus. - Matthieu Futeral; Armel Randy Zebaze; Pedro Ortiz Suarez; Julien Abadji; Rémi Lacroix; Cordelia Schmid; Rachel Bawden; Benoît Sagot (ACL (Findings), 2025)

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions. - Terry Yue Zhuo; Minh Chien Vu; Jenny Chim; Han Hu; Wenhao Yu 002; Ratnadira Widyasari; Imam Nur Bani Yusuf; Haolan Zhan; Junda He; Indraneil Paul; Simon Brunner; Chen Gong 005; et al. (ICLR, 2025)

In-Context Example Selection via Similarity Search Improves Low-Resource Machine Translation. - Armel Randy Zebaze; Benoît Sagot; Rachel Bawden (NAACL (Findings), 2025)

Compositional Translation: A Novel LLM-based Approach for Low-resource Machine Translation. - Armel Zebaze; Benoît Sagot; Rachel Bawden (CoRR, 2025)

TopXGen: Topic-Diverse Parallel Data Generation for Low-Resource Machine Translation. - Armel Zebaze; Benoît Sagot; Rachel Bawden (CoRR, 2025)