From Figures to Datasets: Vision-Language Models for Quantitative Data Extraction
This paper presents an automated pipeline leveraging fine-tuned vision-language models to extract quantitative data from chemical figures, transforming unstructured visual information into machine-readable datasets to accelerate data-driven discovery.