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ChartAgent: A Multimodal Agent for Visually Grounded Reasoning in Complex Chart Question Answering

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Kaur, Rachneet, Srishankar, Nishan, Zeng, Zhen, Ganesh, Sumitra, Veloso, Manuela
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Artificial Intelligence Computational Engineering, Finance, and Science Computation and Language Computer Vision and Pattern Recognition Methodology
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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