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Jin-Tai Hong

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Open access Oct 2026

SmartFuzz: Leveraging Large Language Models and Feature Composition to Generate High-Quality Seeds for Database Fuzzing

Mutation-based fuzzing is one of the most effective techniques for uncovering bugs in Database Management Systems (DBMSs). However, its effectiveness critically depends on the quality of the initial seed queries. High-quality seeds should be syntactically and semantically valid, incorporate diverse SQL features, and en...

Li Lin, Jin-Tai Hong, Yan Zhuang et al. · 0 citations
Open access Jun 2026

Validating LLM-Generated SQL Queries through Metamorphic Prompting

Experimental results demonstrate that MRSQLGen consistently outperforms state-of-the-art hallucination detection techniques, achieving higher precision and recall in detecting hallucinated SQL queries.

Li Lin, Qinglin Zhu, Jintai Hong et al. · 1 citation · ⚡1

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