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URaG: Unified Retrieval and Generation in Multimodal LLMs for Efficient Long Document Understanding

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Shi, Yongxin, Wang, Jiapeng, Shan, Zeyu, Peng, Dezhi, Lin, Zening, Jin, Lianwen
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language
Accesso online:	Acceder al recurso
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