Manuel Faysse

According to our database, Manuel Faysse authored at least 13 papers between 2023 and 2025.

Collaborative distances:

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

2025

Should We Still Pretrain Encoders with Masked Language Modeling?

Hippolyte Gisserot-Boukhlef, Nicolas Boizard, Manuel Faysse, Duarte M. Alves, Emmanuel Malherbe, André F. T. Martins, Céline Hudelot, Pierre Colombo

CoRR, July, 2025

EuroLLM-9B: Technical Report.

Pedro Henrique Martins, João Alves, Patrick Fernandes, Nuno Miguel Guerreiro, Ricardo Rei, M. Amin Farajian, Mateusz Klimaszewski, Duarte M. Alves, José Pombal, Nicolas Boizard, Manuel Faysse, Pierre Colombo, François Yvon, Barry Haddow, José G. C. de Souza, Alexandra Birch, André F. T. Martins

CoRR, June, 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

CoRR, May, 2025

ViDoRe Benchmark V2: Raising the Bar for Visual Retrieval.

Quentin Macé, António Loison, Manuel Faysse

CoRR, May, 2025

EuroBERT: Scaling Multilingual Encoders for European Languages.

Nicolas Boizard, Hippolyte Gisserot-Boukhlef, Duarte M. Alves, André F. T. Martins, Ayoub Hammal, Caio Corro, Céline Hudelot, Emmanuel Malherbe, Etienne Malaboeuf, Fanny Jourdan, Gabriel Hautreux, João Alves, Kevin El Haddad, Manuel Faysse, Maxime Peyrard, Nuno Miguel Guerreiro, Patrick Fernandes, Ricardo Rei, Pierre Colombo

CoRR, March, 2025

MMTEB: Massive Multilingual Text Embedding Benchmark.

Kenneth C. Enevoldsen, Isaac Chung, Imene Kerboua, Márton Kardos, Ashwin Mathur, David Stap, Jay Gala, Wissam Siblini, Dominik Krzeminski, Genta Indra Winata, Saba Sturua, Saiteja Utpala, Mathieu Ciancone, Marion Schaeffer, Gabriel Sequeira, Diganta Misra, Shreeya Dhakal, Jonathan Rystrøm, Roman Solomatin, Ömer Çagatan, Akash Kundu, Martin Bernstorff, Shitao Xiao, Akshita Sukhlecha, Bhavish Pahwa, Rafal Poswiata, Kranthi Kiran GV, Shawon Ashraf, Daniel Auras, Björn Plüster, Jan Philipp Harries, Loïc Magne, Isabelle Mohr, Mariya Hendriksen, Dawei Zhu, Hippolyte Gisserot-Boukhlef, Tom Aarsen, Jan Kostkan, Konrad Wojtasik, Taemin Lee, Marek Suppa, Crystina Zhang, Roberta Rocca, Mohammed Hamdy, Andrianos Michail, John Yang, Manuel Faysse, Aleksei Vatolin, Nandan Thakur, Manan Dey, Dipam Vasani, Pranjal A. Chitale, Simone Tedeschi, Nguyen Tai, Artem Snegirev, Michael Günther, Mengzhou Xia, Weijia Shi, Xing Han Lù, Jordan Clive, Gayatri Krishnakumar, Anna Maksimova, Silvan Wehrli, Maria Tikhonova, Henil Panchal, Aleksandr Abramov, Malte Ostendorff, Zheng Liu, Simon Clematide, Lester James V. Miranda, Alena Fenogenova, Guangyu Song, Ruqiya Bin Safi, Wen-Ding Li, Alessia Borghini, Federico Cassano, Hongjin Su, Jimmy Lin, Howard Yen, Lasse Hansen, Sara Hooker, Chenghao Xiao, Vaibhav Adlakha, Orion Weller, Siva Reddy, Niklas Muennighoff

CoRR, February, 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

SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It).

Matthieu Meeus, Igor Shilov, Shubham Jain, Manuel Faysse, Marek Rei, Yves-Alexandre de Montjoye

Proceedings of the IEEE Conference on Secure and Trustworthy Machine Learning, 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

2024

Towards Trustworthy Reranking: A Simple yet Effective Abstention Mechanism.

Hippolyte Gisserot-Boukhlef, Manuel Faysse, Emmanuel Malherbe, Céline Hudelot, Pierre Colombo

Trans. Mach. Learn. Res., 2024

EuroLLM: Multilingual Language Models for Europe.

Pedro Henrique Martins, Patrick Fernandes, João Alves, Nuno Miguel Guerreiro, Ricardo Rei, Duarte M. Alves, José Pombal, M. Amin Farajian, Manuel Faysse, Mateusz Klimaszewski, Pierre Colombo, Barry Haddow, José G. C. de Souza, Alexandra Birch, André F. T. Martins

CoRR, 2024

Copyright Traps for Large Language Models.

Matthieu Meeus, Igor Shilov, Manuel Faysse, Yves-Alexandre de Montjoye

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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