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NL2INTERFACE: Interactive Visualization Interface Generation from Natural Language Queries

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arxiv 2209.08834 v2 pith:JOZUTUN2 submitted 2022-09-19 cs.HC cs.AIcs.CLcs.DB

Yiru Chen , Ryan Li , Austin Mac , Tianbao Xie , Tao Yu , Eugene Wu This is my paper
classification cs.HCcs.AIcs.CLcs.DB
keywords languageinteractivenaturalnl2interfacequeriesinterfaceinterfacesmulti-visualization
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. MV-Bench: Benchmarking Multimodal Large Language Models for Coordinated Multi-View Interface Construction

    cs.CV 2026-07 conditional novelty 6.0 of 10

    Current multimodal LLMs can copy the look of multi-view dashboards but mostly fail to bind real data and implement cross-view interactions.

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