학술논문

Mirror: A Natural Language Interface for Data Querying, Summarization, and Visualization
Document Type
Working Paper
Source
Subject
Computer Science - Databases
Computer Science - Artificial Intelligence
Computer Science - Computation and Language
Computer Science - Software Engineering
Language
Abstract
We present Mirror, an open-source platform for data exploration and analysis powered by large language models. Mirror offers an intuitive natural language interface for querying databases, and automatically generates executable SQL commands to retrieve relevant data and summarize it in natural language. In addition, users can preview and manually edit the generated SQL commands to ensure the accuracy of their queries. Mirror also generates visualizations to facilitate understanding of the data. Designed with flexibility and human input in mind, Mirror is suitable for both experienced data analysts and non-technical professionals looking to gain insights from their data.
Comment: The Web Conference (WWW 2023) Demo