Fine-tuning DePlot on synthetic financial bar charts improves chart-to-table extraction, and supplying the extracted table to a vision-language model reduces numeric QA error far below image-only prompting.
ChartQA: A benchmark for question answering about charts with visual and logical reasoning,
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Enhancing Financial VQA in Vision Language Models using Intermediate Structured Representations
Fine-tuning DePlot on synthetic financial bar charts improves chart-to-table extraction, and supplying the extracted table to a vision-language model reduces numeric QA error far below image-only prompting.