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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Bibliographische Detailangaben
| Veröffentlicht in: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. - 1992. - PP(2025) vom: 13. Okt.
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| 1. Verfasser: |
Xia, Renqiu
(VerfasserIn) |
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| Weitere Verfasser: |
Ye, Hancheng,
Yan, Xiangchao,
Liu, Qi,
Zhou, Hongbin,
Chen, Zijun,
Shi, Botian,
Yan, Junchi,
Zhang, Bo |
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| Format: | Online-Aufsatz
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| Sprache: | English |
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| Veröffentlicht: |
2025
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| Zugriff auf das übergeordnete Werk: | IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
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| Schlagworte: | Journal Article |
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