Hugo Laurençon

According to our database, Hugo Laurençon authored at least 14 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Gaia2: Benchmarking LLM Agents on Dynamic and Asynchronous Environments.

Romain Froger, Pierre Andrews, Matteo Bettini, Amar Budhiraja, Ricardo Silveira Cabral, Virginie Do, Emilien Garreau, Jean-Baptiste Gaya, Hugo Laurençon, Maxime Lecanu, Kunal Malkan, Dheeraj Mekala, Pierre Ménard, Gerard Moreno-Torres Bertran, Ulyana Piterbarg, Mikhail Plekhanov, Mathieu Rita, Andrey Rusakov, Vladislav Vorotilov, Mengjue Wang, Ian Yu, Amine Benhalloum, Grégoire Mialon, Thomas Scialom

CoRR, February, 2026

2025

ARE: Scaling Up Agent Environments and Evaluations.

Pierre Andrews, Amine Benhalloum, Gerard Moreno-Torres Bertran, Matteo Bettini, Amar Budhiraja, Ricardo Silveira Cabral, Virginie Do, Romain Froger, Emilien Garreau, Jean-Baptiste Gaya, Hugo Laurençon, Maxime Lecanu, Kunal Malkan, Dheeraj Mekala, Pierre Ménard, Grégoire Mialon, Ulyana Piterbarg, Mikhail Plekhanov, Mathieu Rita, Andrey Rusakov, Thomas Scialom, Vladislav Vorotilov, Mengjue Wang, Ian Yu

CoRR, September, 2025

Foundation Vision-Language models. (Modèles Vision et Langage multimodaux de fondation).

Hugo Laurençon

PhD thesis, 2025

2024

Building and better understanding vision-language models: insights and future directions.

Hugo Laurençon, Andrés Marafioti, Victor Sanh, Léo Tronchon

CoRR, 2024

Unlocking the conversion of Web Screenshots into HTML Code with the WebSight Dataset.

Hugo Laurençon, Léo Tronchon, Victor Sanh

CoRR, 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

What matters when building vision-language models?

Hugo Laurençon, Léo Tronchon, Matthieu Cord, Victor Sanh

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

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

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

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

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

The ROOTS Search Tool: Data Transparency for LLMs.

Aleksandra Piktus, Christopher Akiki, Paulo Villegas, Hugo Laurençon, Gérard Dupont, Sasha Luccioni, Yacine Jernite, Anna Rogers

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2023

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 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, Quentin Lhoest, Angelina McMillan-Major, Gérard Dupont, Stella Biderman, Anna Rogers, Loubna Ben Allal, Francesco De Toni, Giada Pistilli, Olivier Nguyen, Somaieh Nikpoor, Maraim Masoud, Pierre Colombo, Javier de la Rosa, Paulo Villegas, Tristan Thrush, Shayne Longpre, Sebastian Nagel, Leon Weber, Manuel Muñoz, Jian Zhu, Daniel van Strien, Zaid Alyafeai, Khalid Almubarak, Minh Chien Vu, Itziar Gonzalez-Dios, Aitor Soroa, Kyle Lo, Manan Dey, Pedro Ortiz Suarez, Aaron Gokaslan, Shamik Bose, David Ifeoluwa Adelani, Long Phan, Hieu Tran, Ian Yu, Suhas Pai, Jenny Chim, Violette Lepercq, Suzana Ilic, Margaret Mitchell, Alexandra Sasha Luccioni, Yacine Jernite

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Continuous Homeostatic Reinforcement Learning for Self-Regulated Autonomous Agents.

Hugo Laurençon, Charbel-Raphaël Ségerie, Johann Lussange, Boris S. Gutkin

CoRR, 2021