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VisR-Bench: An Empirical Study on Visual Retrieval-Augmented Generation for Multilingual Long Document Understanding

Fuente: arXiv

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Détails bibliographiques
Auteurs principaux:	Chen, Jian, Li, Ming, Kil, Jihyung, Wang, Chenguang, Yu, Tong, Rossi, Ryan, Zhou, Tianyi, Chen, Changyou, Zhang, Ruiyi
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
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