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OneChart: Purify the Chart Structural Extraction via One Auxiliary Token
April 16, 2024, 4:48 a.m. | Jinyue Chen, Lingyu Kong, Haoran Wei, Chenglong Liu, Zheng Ge, Liang Zhao, Jianjian Sun, Chunrui Han, Xiangyu Zhang
cs.CV updates on arXiv.org arxiv.org
Abstract: Chart parsing poses a significant challenge due to the diversity of styles, values, texts, and so forth. Even advanced large vision-language models (LVLMs) with billions of parameters struggle to handle such tasks satisfactorily. To address this, we propose OneChart: a reliable agent specifically devised for the structural extraction of chart information. Similar to popular LVLMs, OneChart incorporates an autoregressive main body. Uniquely, to enhance the reliability of the numerical parts of the output, we introduce …
abstract advanced agent arxiv challenge cs.cv diversity extraction language language models parameters parsing struggle tasks token type values via vision vision-language models
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