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New Dashboard2Code task evaluates LLMs on interactive dashboard reconstruction

By PulseAugur Editorial · [3 sources] ·

Researchers have introduced Dashboard2Code, a new task designed to evaluate multimodal large language models' ability to reconstruct interactive dashboards. This task goes beyond static chart generation by requiring models to interact with dashboards, integrate feedback, and produce code that replicates the target dashboard. To facilitate this, they developed DashboardMimic, a benchmark dataset using Plotly+Dash with 180 dashboard-code pairs across varying difficulty levels and interaction patterns. Experiments show that current models, including strong open- and closed-source options, struggle with complex dashboards, highlighting a significant performance gap. AI

IMPACT This research highlights limitations in current multimodal models for complex interactive data visualization, suggesting areas for future development.

RANK_REASON The cluster describes a new research paper introducing a novel task and benchmark for evaluating multimodal models.

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 3 sources. How we write summaries →

New Dashboard2Code task evaluates LLMs on interactive dashboard reconstruction

COVERAGE [3]

  1. arXiv cs.AI TIER_1 English(EN) · Tianhao Niu, Ziyu Han, Qiguang Chen, Shiqi Zhou, Baocai Shan, Hengjie Fang, Qingfu Zhu, Wanxiang Che ·

    Dashboard2Code: Evaluating Multimodal Models on Reconstructing Interactive Dashboards

    arXiv:2607.04727v1 Announce Type: cross Abstract: Automatic data visualization generation has advanced rapidly with multi-modal large language models, yet existing efforts largely focus on static charts and overlook the interactive dashboards commonly used for real-world data exp…

  2. Hugging Face Daily Papers TIER_1 English(EN) ·

    Dashboard2Code: Evaluating Multimodal Models on Reconstructing Interactive Dashboards

    Automatic data visualization generation has advanced rapidly with multi-modal large language models, yet existing efforts largely focus on static charts and overlook the interactive dashboards commonly used for real-world data exploration. We introduce Dashboard2Code, a novel tas…

  3. arXiv cs.CV TIER_1 English(EN) · Wanxiang Che ·

    Dashboard2Code: Evaluating Multimodal Models on Reconstructing Interactive Dashboards

    Automatic data visualization generation has advanced rapidly with multi-modal large language models, yet existing efforts largely focus on static charts and overlook the interactive dashboards commonly used for real-world data exploration. We introduce Dashboard2Code, a novel tas…

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