ViDoRe V3: A Comprehensive Evaluation of Retrieval Augmented Generation in Complex Real-World Scenarios
Published in arXiv preprint (arXiv:2601.08620), 2026
A comprehensive multimodal RAG benchmark featuring multi-type queries over visually rich document corpora, covering 10 datasets across diverse professional domains with ~26,000 document pages and 3,099 human-verified queries in 6 languages.
Recommended citation: Loison, A., Macé, Q., Edy, A., Xing, V., Balough, T., Moreira, G., Liu, B., Faysse, M., Hudelot, C., & Viaud, G. (2026). "ViDoRe V3: A Comprehensive Evaluation of Retrieval Augmented Generation in Complex Real-World Scenarios." arXiv:2601.08620.
🔗 Paper
