NL2INTERFACE: Interactive Visualization Interface Generation from Natural Language Queries
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Abstract (arXiv)
We develop NL2INTERFACE to explore the potential of generating usable interactive multi-visualization interfaces from natural language queries. With NL2INTERFACE, users can directly write natural language queries to automatically generate a fully interactive multi-visualization interface without any extra effort of learning a tool or programming language. Further, users can interact with the interfaces to easily transform the data and quickly see the results in the visualizations.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). Builds on 18 of its 36 references that are in the map. First posted on arXiv 19 Sep 2022.
Builds on
18 of 36 references.
References · 18
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- 2020NL4DV: A Toolkit for Generating Analytic Specifications for Data Visualization from Natural Language Queriescited by 73
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6 more
- 2021Few-Shot Semantic Parsing with Language Models Trained On Codecited by 50
- 2020Did You Ask a Good Question? A Cross-Domain Question Intention Classification Benchmark for Text-to-SQLcited by 16
- 2021PI2: End-to-end Interactive Visualization Interface Generation from Queriescited by 10
- 2020Monte Carlo Tree Search for Generating Interactive Data Analysis Interfacescited by 2
- 2022Demonstration of PI2: Interactive Visualization Interface Generation for SQL Analysis in Notebookcited by 2
- 2017Mining Precision Interfaces From Query Logscited by 1
Built on by
Citing papers per year: 2023: 2; 2024: 3; 2025: 2; 2026: 1.
8 papers.
- 2023Natural Language Interfaces for Tabular Data Querying and Visualization: A Surveycited by 27
- 2024BISCUIT: Scaffolding LLM-Generated Code with Ephemeral UIs in Computational Notebookscited by 12
- 2024Vi(E)va LLM! A Conceptual Stack for Evaluating and Interpreting Generative AI-based Visualizationscited by 10
- 2025DeepVIS: Bridging Natural Language and Data Visualization Through Step-wise Reasoningcited by 8
- 2025Automated Visualization Code Synthesis via Multi-Path Reasoning and Feedback-Driven Optimizationcited by 6
- 2023Agnostic Visual Recommendation Systems: Open Challenges and Future Directionscited by 4
- 2024V-RECS, a Low-Cost LLM4VIS Recommender with Explanations, Captioning and Suggestionscited by 3
- 2026MV-Bench: Benchmarking Multimodal Large Language Models for Coordinated Multi-View Interface Constructioncited by 0
- 2026MV-Bench: Benchmarking Multimodal Large Language Models for Coordinated Multi-View Interface Construction22 Jul 2026
- 2025DeepVIS: Bridging Natural Language and Data Visualization Through Step-wise Reasoning3 Aug 2025
- 2025Automated Visualization Code Synthesis via Multi-Path Reasoning and Feedback-Driven Optimization16 Feb 2025
- 2024V-RECS, a Low-Cost LLM4VIS Recommender with Explanations, Captioning and Suggestions21 Jun 2024
- 2024BISCUIT: Scaffolding LLM-Generated Code with Ephemeral UIs in Computational Notebooks10 Apr 2024
- 2024Vi(E)va LLM! A Conceptual Stack for Evaluating and Interpreting Generative AI-based Visualizations3 Feb 2024
- 2023Natural Language Interfaces for Tabular Data Querying and Visualization: A Survey27 Oct 2023
- 2023Agnostic Visual Recommendation Systems: Open Challenges and Future Directions1 Feb 2023