@inproceedings{d0d1af43ab84449386d4bc3ae37572c6,
title = "Visualization-oriented Natural Language Interfaces for Grafana Dashboard",
abstract = "Real-time monitoring of individual node statuses is crucial in distributed systems to promptly identify and address anomalies and enable effective system management. Due to the less intuitive nature of traditional form-based methods for adding charts, there is a growing trend towards integrating large language models (LLMs) into visualization-oriented natural language interfaces (V-NLIs) to automate the entire front-end monitoring process. Although LLMs have advanced significantly, they still exhibit weaker capabilities in code generation, particularly when visualization platforms need LLMs to generate some specialized JSON formats for updating dashboards. To improve the code generation capability of general-purpose LLMs, we propose a system that allows users to create charts using arbitrary natural language. Additionally, concerning the limitations of LLMs in code generation, we aim to leverage the LangChain agent to develop a custom toolkit. The LangChain agent will enable language models to focus on text comprehension while our tool will handle code generation.",
keywords = "Grafana, LangChain, Visualization-oriented natural language interfaces, large language model",
author = "Tong, {Bo Yao} and Kuo, {Ted T.} and Lin, {Chia Yu}",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 11th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2024 ; Conference date: 09-07-2024 Through 11-07-2024",
year = "2024",
doi = "10.1109/ICCE-Taiwan62264.2024.10674281",
language = "???core.languages.en_GB???",
series = "11th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2024",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "465--466",
booktitle = "11th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-Taiwan 2024",
}