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Saleha Muzammil

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#artificial intelligence Dec 2025

Effective and Efficient Threat Hunting with Small Language Models

This work adapts NL2KQL for SLMs with lightweight retrieval and introduces error-aware prompting that targets common parser failures with a handful of mined tips, at a fraction of the tokens KQL's full rule set would require.

Saleha Muzammil, R. Reddy, Vishal Kamalakrishnan et al. · 0 citations

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