ChartX & ChartVLM : A Versatile Benchmark and Foundation Model for Complicated Chart Reasoning

Recently, many versatile Multi-modal Large Language Models (MLLMs) have emerged continuously. However, their capacity to query information depicted in visual charts and engage in reasoning based on the queried contents remains under-explored. In this paper, to comprehensively and rigorously benchmar...

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Publié dans:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - PP(2025) vom: 13. Okt.
Auteur principal:	Xia, Renqiu (Auteur)
Autres auteurs:	Ye, Hancheng, Yan, Xiangchao, Liu, Qi, Zhou, Hongbin, Chen, Zijun, Shi, Botian, Yan, Junchi, Zhang, Bo
Format:	Article en ligne
Langue:	English
Publié:	2025
Accès à la collection:	IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
Sujets:	Journal Article