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CoLA: Model Collaboration for Log-based Anomaly Detection

Summary: CoLA couples an efficient small detector with an LLM expert: the detector filters logs, while the LLM verifies anomalies, explains decisions, and refines the detector. Evaluated on three real datasets, it improves accuracy, efficiency, explainability, and labor cost. (summarized by gpt-5.6-luna on Jul 24 2026)

Paper ID
14204
Venue
VLDB
Year
2025
Pagerank
5.093636e-05
Overall Rank
10,956 | 24.84%
DOI
10.14778/3749646.3749668

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BibTeX Citation

@article{zhu_vldb25,
        title = {{CoLA: Model Collaboration for Log-based Anomaly Detection}},
        author = {Zhu, Xuhang and Tang, Xiu and Wu, Sai and Li, Jichen and Wang, Haobo and Yao, Chang and Xu, Quanqing and Chen, Gang},
        journal = {PVLDB},
        series = {{VLDB} '25},
        volume = {18},
        number = {11},
        pages = {3979--3987},
        doi = {10.14778/3749646.3749668},
        url = {https://doi.org/10.14778/3749646.3749668},
        year = {2025}
}

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