Hutchinson, MaeveSlingsby, AidanJianu, RaduMadhyastha, PranavaGillmann, ChristinaKrone, MichaelLenti, Simone2023-06-102023-06-102023978-3-03868-220-2https://doi.org/10.2312/evp.20231072https://diglib.eg.org:443/handle/10.2312/evp20231072In this paper, we present an empirical demonstration of a prompt-based learning approach, which utilizes pre-trained Large Language Models to generate visualization specifications from user queries expressed in natural language. We showcase the approach's flexibility in generating valid specifications in languages other than English (e.g., Spanish) despite lacking access to any training samples. Our findings represent the first steps towards the development of multilingual interfaces for data visualization that transcend English-centric systems, making them more accessible to a wider range of users.Attribution 4.0 International LicenseCCS Concepts: Computing methodologies -> Natural language processing; Human-centered computing -> Visualization systems and toolsComputing methodologiesNatural language processingHuman centered computingVisualization systems and tools10.2312/evp.2023107277-793 pages