Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study

arXiv:2404.17136v1 Announce Type: cross
Abstract: The Natural Language to Visualization (NL2Vis) task aims to transform natural-language descriptions into visual representations for a grounded table, enabling users to gain insights from vast amounts of data. Recently, many deep learning-based approaches have been developed for NL2Vis. Despite the considerable efforts made by these approaches, challenges persist in visualizing data sourced from unseen databases or spanning multiple tables. Taking inspiration from the remarkable generation capabilities of Large Language Models (LLMs), this paper conducts …

abstract arxiv automated cs.ai cs.cl cs.db data data visualization deep learning enabling exploratory insights language language models large language large language models natural natural language study table type vast via visual visualization