Recommandation Hybride basée sur l'Apprentissage Profond. - Lamia Berkani; Imene Kerboua; Sofiane Zeghoud (EDA, 2020)

Extending the Massive Text Embedding Benchmark to French. - Mathieu Ciancone; Imene Kerboua; Marion Schaeffer; Wissam Siblini (CoRR, 2024)

MTEB-FR: une expérience à large échelle pour l'apprentissage de représentation en français. - Wissam Siblini; Mathieu Ciancone; Imene Kerboua; Marion Schaeffer (EGC, 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; et al. (ICLR, 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; et al. (CoRR, 2025)

MIEB: Massive Image Embedding Benchmark. - Chenghao Xiao; Isaac Chung; Imene Kerboua; Jamie Stirling; Xin Zhang; Márton Kardos; Roman Solomatin; Noura Al Moubayed; Kenneth C. Enevoldsen; Niklas Muennighoff (CoRR, 2025)

Maintaining MTEB: Towards Long Term Usability and Reproducibility of Embedding Benchmarks. - Isaac Chung; Imene Kerboua; Márton Kardos; Roman Solomatin; Kenneth C. Enevoldsen (CoRR, 2025)

LineRetriever: Planning-Aware Observation Reduction for Web Agents. - Imene Kerboua; Sahar Omidi Shayegan; Megh Thakkar; Xing Han Lù; Massimo Caccia; Véronique Eglin; Alexandre Aussem; Jérémy Espinas; Alexandre Lacoste (CoRR, 2025)