From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Models

arXiv:2403.12027v1 Announce Type: cross
Abstract: Data visualization in the form of charts plays a pivotal role in data analysis, offering critical insights and aiding in informed decision-making. Automatic chart understanding has witnessed significant advancements with the rise of large foundation models in recent years. Foundation models, such as large language models (LLMs), have revolutionized various natural language processing (NLP) tasks and are increasingly being applied to chart understanding tasks. This survey paper provides a comprehensive overview of the recent developments, …

arxiv cs.ai cs.cl cs.cv foundation insights pixels survey type understanding