Author

Sepideh Hodaeian

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Preprint Sep 2026

TAILOR: Template-Preserving Augmentation for Long-Tailed Log Parsing

TAILOR, a log parsing framework that improves template inference for rare log groups through template-preserving augmentation, is proposed and experimental results show that TAILOR improves parsing accuracy on rare log groups by 19% over the strongest baseline while maintaining competitive performance on complete datas...

Sepideh Hodaeian, Zhen-Hao Li, An-Ran Chen · 0 citations

Book Open access Jul 2026

An Empirical Study on the Prevalence of Rare Logs and its Impact of Log Parsing

It is shown that strong overall accuracy can coexist with poor performance on rare but operationally critical log templates, and the need for evaluation protocols that explicitly account for template frequency when assessing log parsers in real-world settings is highlighted.

Sepideh Hodaeian · SIGSOFT FSE Companion · 0 citations