papersSEP 12 04:00 UTC
Multimodal Prompts Proposed to Improve LLM Visualization Authoring
A research paper examines how large language models can be guided to build data visualizations, noting that plain natural language instructions often lack the precision needed for exact chart specifications. The authors propose using multimodal prompts that combine text with other input forms to give models clearer direction. The work is presented as a preprint on arXiv and focuses on improving control and accuracy in automated visualization creation.