XTREME-S: Evaluating Cross-lingual Speech Representations. - Alexis Conneau; Ankur Bapna; Yu Zhang 033; Min Ma; Patrick von Platen; Anton Lozhkov; Colin Cherry; Ye Jia; Clara Rivera; Mihir Kale; Daan van Esch; Vera Axelrod; et al. (INTERSPEECH, 2022)

OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents. - Hugo Laurençon; Lucile Saulnier; Léo Tronchon; Stas Bekman; Amanpreet Singh; Anton Lozhkov; Thomas Wang; Siddharth Karamcheti; Alexander M. Rush; Douwe Kiela; Matthieu Cord; Victor Sanh (NeurIPS, 2023)

OBELISC: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents. - Hugo Laurençon; Lucile Saulnier; Léo Tronchon; Stas Bekman; Amanpreet Singh; Anton Lozhkov; Thomas Wang; Siddharth Karamcheti; Alexander M. Rush; Douwe Kiela; Matthieu Cord; Victor Sanh (CoRR, 2023)

Can It Edit? Evaluating the Ability of Large Language Models to Follow Code Editing Instructions. - Federico Cassano; Luisa Li; Akul Sethi; Noah Shinn; Abby Brennan-Jones; Anton Lozhkov; Carolyn Jane Anderson; Arjun Guha (CoRR, 2023)

The FineWeb Datasets: Decanting the Web for the Finest Text Data at Scale. - Guilherme Penedo; Hynek Kydlícek; Loubna Ben Allal; Anton Lozhkov; Margaret Mitchell; Colin A. Raffel; Leandro von Werra; Thomas Wolf 008 (NeurIPS, 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)

SmolLM2: When Smol Goes Big - Data-Centric Training of a Small Language Model. - Loubna Ben Allal; Anton Lozhkov; Elie Bakouch; Gabriel Martín Blázquez; Guilherme Penedo; Lewis Tunstall; Andrés Marafioti; Hynek Kydlícek; Agustín Piqueres Lajarín; Vaibhav Srivastav; Joshua Lochner; Caleb Fahlgren; et al. (CoRR, 2025)

SmolVLM: Redefining small and efficient multimodal models. - Andrés Marafioti; Orr Zohar; Miquel Farré; Merve Noyan; Elie Bakouch; Pedro Cuenca 002; Cyril Zakka; Loubna Ben Allal; Anton Lozhkov; Nouamane Tazi; Vaibhav Srivastav; Joshua Lochner; et al. (CoRR, 2025)