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Enhancing Large Vision-Language Models with Layout Modality for Table Question Answering on Japanese Annual Securities Reports

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Aida, Hayato, Takahashi, Kosuke, Omi, Takahiro
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Computer Vision and Pattern Recognition 68T50 I.2
Accesso online:	Acceder al recurso
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