Marion Schaeffer

According to our database, Marion Schaeffer authored at least 13 papers between 2022 and 2026.

Collaborative distances:

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

2026

ChunkNorris: A High-Performance and Low-Energy Approach to PDF Parsing and Chunking.

Mathieu Ciancone, Clovis Varangot-Reille, Marion Schaeffer

CoRR, February, 2026

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

Doing More with Less - Implementing Routing Strategies in Large Language Model-Based Systems: An Extended Survey.

Clovis Varangot-Reille, Christophe Bouvard, Antoine Gourru, Mathieu Ciancone, Marion Schaeffer, François Jacquenet

CoRR, February, 2025

Towards efficient Knowledge Graph-based Retrieval Augmented Generation for conversational agents. (Vers une génération augmentée de récupération basée sur des graphes de connaissances efficace pour les agents conversationnels).

Marion Schaeffer

PhD thesis, 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, Diganta Misra, Shreeya Dhakal, Jonathan Rystrøm, Roman Solomatin, Ömer Veysel Çagatan, Akash Kundu, et al.

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MTEB-FR: une expérience à large échelle pour l'apprentissage de représentation en français.

Wissam Siblini, Mathieu Ciancone, Imene Kerboua, Marion Schaeffer

Proceedings of the Extraction et Gestion des Connaissances, EGC 2025, 2025

2024

Extending the Massive Text Embedding Benchmark to French.

Mathieu Ciancone, Imene Kerboua, Marion Schaeffer, Wissam Siblini

CoRR, 2024

On the Pertinence of LLMs for Ontology Learning.

Marion Schaeffer, Matthias Sesboüé, Léa Charbonnier, Nicolas Delestre, Jean-Philippe Kotowicz, Cecilia Zanni-Merk

Proceedings of the 3rd International Workshop on Natural Language Processing for Knowledge Graph Creation co-located with 20th International Conference on Semantic Systems (SEMANTiCS 2024), 2024

Vers des LLM moins gourmands pour interroger des graphes de connaissances en langue naturelle.

Marion Schaeffer, Christophe Bouvard, Jean-Philippe Kotowicz, Cecilia Zanni-Merk

Proceedings of the Extraction et Gestion des Connaissances, 2024

CapData Opéra - faciliter l'interopérabilité des données des maisons d'opéra.

Eudes Peyre, Fabien Amarger, Nicolas Chauvat, Marion Schaeffer

Proceedings of the 10ème Conférence Nationale sur les Applications Pratiques de l'Intelligence Artificielle, 2024

Derby LLM - Évaluation comparative des approches RAG et fine-tuning.

Christophe Bouvard, Mathieu Ciancone, Antoine Gourru, Marion Schaeffer

Proceedings of the 10ème Conférence Nationale sur les Applications Pratiques de l'Intelligence Artificielle, 2024

2023

OLAF: An Ontology Learning Applied Framework.

Marion Schaeffer, Matthias Sesboüé, Jean-Philippe Kotowicz, Nicolas Delestre, Cecilia Zanni-Merk

Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

2022

Comparaison des solutions de NLU sur un corpus français pour un chatbot de support COVID-19.

Marion Schaeffer, Christophe Bouvard

Proceedings of the IC 2022 : 33es Journées francophones d'Ingénierie des Connaissances (Proceedings of the 33rd French Knowledge Engineering Conference), Saint-Etienne, France, June 29, 2022