Author

Jue Wang

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Jul 2026

LogNLQ: Natural-Language Log Querying with Parser-Induced and Semantically Grounded Schemas

LogNLQ is a framework that formulates natural-language log querying as executable SQL generation over parser-induced and semantically grounded schemas, and demonstrates that LogNLQ consistently outperforms all representative baselines by wide margins, with especially pronounced gains on analytically complex scenario queries.

Jue Wang, Jinyang Liu, Zhuang-Bin Chen et al. · arXiv.org · 0 citations