Gautier Viaud

According to our database, Gautier Viaud authored at least 16 papers between 2015 and 2026.

Collaborative distances:

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

2026

Experiential Reflective Learning for Self-Improving LLM Agents.

Marc-Antoine Allard, Arnaud Teinturier, Victor Xing, Gautier Viaud

CoRR, March, 2026

ViDoRe V3: A Comprehensive Evaluation of Retrieval Augmented Generation in Complex Real-World Scenarios.

António Loison, Quentin Macé, Antoine Edy, Victor Xing, Tom Balough, Gabriel Moreira, Bo Liu, Manuel Faysse, Céline Hudelot, Gautier Viaud

CoRR, January, 2026

ViDoRe V3: A Comprehensive Evaluation of Retrieval Augmented Generation in Complex Real-World Scenarios.

António Loison, Quentin Macé, Antoine Edy, Victor Xing, Tom Balough, Gabriel de Souza Pereira Moreira, Bo Liu, Manuel Faysse, Céline Hudelot, Gautier Viaud

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

ModernVBERT: Towards Smaller Visual Document Retrievers.

Paul Teiletche, Quentin Macé, Max Conti, António Loison, Gautier Viaud, Pierre Colombo, Manuel Faysse

CoRR, October, 2025

CroissantLLM: A Truly Bilingual French-English Language Model.

Manuel Faysse, Patrick Fernandes, Nuno Miguel Guerreiro, António Loison, Duarte M. Alves, Caio Corro, Nicolas Boizard, João Alves, Ricardo Rei, Pedro Henrique Martins, Antoni Bigata Casademunt, François Yvon, André F. T. Martins, Gautier Viaud, Céline Hudelot, Pierre Colombo

Trans. Mach. Learn. Res., 2025

ColPali: Efficient Document Retrieval with Vision Language Models.

Manuel Faysse, Hugues Sibille, Tony Wu, Bilel Omrani, Gautier Viaud, Céline Hudelot, Pierre Colombo

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Context is Gold to find the Gold Passage: Evaluating and Training Contextual Document Embeddings.

Max Conti, Manuel Faysse, Gautier Viaud, Antoine Bosselut, Céline Hudelot, Pierre Colombo

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

GroUSE: A Benchmark to Evaluate Evaluators in Grounded Question Answering.

Sacha Muller, António Loison, Bilel Omrani, Gautier Viaud

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2023

Revisiting Instruction Fine-tuned Model Evaluation to Guide Industrial Applications.

Manuel Faysse, Gautier Viaud, Céline Hudelot, Pierre Colombo

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Representation Learning for the Clustering of Multi-Omics Data.

Gautier Viaud, Prasanna Mayilvahanan, Paul-Henry Cournède

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

FQuAD2.0: French Question Answering and Learning When You Don't Know.

Quentin Heinrich, Gautier Viaud, Wacim Belblidia

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2021

FQuAD2.0: French Question Answering and knowing that you know nothing.

Quentin Heinrich, Gautier Viaud, Wacim Belblidia

CoRR, 2021

Improving Next-Application Prediction with Deep Personalized-Attention Neural Network.

Jun Zhu, Gautier Viaud, Céline Hudelot

Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021

2015

Zolotarev Quadrature Rules and Load Balancing for the FEAST Eigensolver.

Stefan Güttel, Eric Polizzi, Ping Tak Peter Tang, Gautier Viaud

SIAM J. Sci. Comput., 2015

A comparison of a generic MCMC-based algorithm for Bayesian estimation in C++, R and Julia: application to plant growth modeling.

Gautier Viaud, Yuting Chen, Benoit Bayol, Paul-Henry Cournède

Proceedings of the 48th Annual Simulation Symposium, 2015

WIP - Promoting good modeling practice with a domain-specific language and statistical algorithms designed for parallel computing.

Benoit Bayol, Yuting Chen, Charlotte Baey, Gautier Viaud, Paul-Henry Cournède

Proceedings of the Symposium on Theory of Modeling & Simulation: DEVS Integrative M&S Symposium, 2015