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MultiVis-Agent: A Multi-Agent Framework with Logic Rules for Reliable and Comprehensive Cross-Modal Data Visualization

Summary: MultiVis-Agent: multi-agent LLM framework for cross-modal chart generation/refinement with images, code, and iterative feedback. Key novelty: four-layer logic rules as mathematical constraints to prevent failures/loops, plus MultiVis-Bench for evaluating reliability and multimodal visualization tasks. (summarized by gpt-5-mini on Apr 11 2026)

Paper ID
7687
Venue
SIGMOD
Year
2026
Pagerank
5.093636e-05
Overall Rank
10,474 | 28.14%
DOI
10.1145/3786670

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Authors

BibTeX Citation

@inproceedings{lu_sigmod26,
        title = {{MultiVis-Agent: A Multi-Agent Framework with Logic Rules for Reliable and Comprehensive Cross-Modal Data Visualization}},
        author = {Lu, Jinwei and Song, Yuanfeng and Zhang, Chen and Wong, Raymond Chi-Wing},
        series = {{SIGMOD} '26},
        booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
        publisher = {Association for Computing Machinery},
        doi = {10.1145/3786670},
        url = {https://dl.acm.org/doi/10.1145/3786670},
        year = {2026}
}

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