Continuous Homeostatic Reinforcement Learning for Self-Regulated Autonomous Agents. - Hugo Laurençon; Charbel-Raphaël Ségerie; Johann Lussange; Boris S. Gutkin (CoRR, 2021)

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset. - Hugo Laurençon; Lucile Saulnier; Thomas Wang; Christopher Akiki; Albert Villanova del Moral; Teven Le Scao; Leandro von Werra; Chenghao Mou; Eduardo González Ponferrada; Huu Nguyen; Jörg Frohberg; Mario Sasko; et al. (NeurIPS, 2022)

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model. - Teven Le Scao; Angela Fan; Christopher Akiki; Ellie Pavlick; Suzana Ilic; Daniel Hesslow; Roman Castagné; Alexandra Sasha Luccioni; François Yvon; Matthias Gallé; Jonathan Tow; Alexander M. Rush; et al. (CoRR, 2022)

DP-Parse: Finding Word Boundaries from Raw Speech with an Instance Lexicon. - Robin Algayres; Tristan Ricoul; Julien Karadayi; Hugo Laurençon; Mohamed Salah Zaïem; Abdelrahman Mohamed; Benoît Sagot; Emmanuel Dupoux (Trans. Assoc. Comput. Linguistics, 2022)

The ROOTS Search Tool: Data Transparency for LLMs. - Aleksandra Piktus; Christopher Akiki; Paulo Villegas; Hugo Laurençon; Gérard Dupont; Sasha Luccioni; Yacine Jernite; Anna Rogers (ACL (demo), 2023)

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)

CALM : A Multi-task Benchmark for Comprehensive Assessment of Language Model Bias. - Vipul Gupta; Pranav Narayanan Venkit; Hugo Laurençon; Shomir Wilson; Rebecca J. Passonneau (CoRR, 2023)

What matters when building vision-language models? - Hugo Laurençon; Léo Tronchon; Matthieu Cord; Victor Sanh (NeurIPS, 2024)

Continuous Time Continuous Space Homeostatic Reinforcement Learning (CTCS-HRRL) : Towards Biological Self-Autonomous Agent. - Hugo Laurençon; Yesoda Bhargava; Riddhi Zantye; Charbel-Raphaël Ségerie; Johann Lussange; Veeky Baths; Boris Gutkin (CoRR, 2024)

Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset. - Hugo Laurençon; Léo Tronchon; Victor Sanh (CoRR, 2024)

Building and better understanding vision-language models: insights and future directions. - Hugo Laurençon; Andrés Marafioti; Victor Sanh; Léo Tronchon (CoRR, 2024)