If you’ve ever used AI to generate or iterate on SQL schemas, you’ve probably run into this problem: It becomes really hard to track what actually changed. Which columns were added? Which tables ...
Abstract: This paper presents a novel model we called HIT-SQL to enhance text-to-SQL query generation using large language models (LLMs) with progressive active learning. HITSQL is specifically ...
LibGhidra and GhidraSQL turn Ghidra into an automation target: a typed C++, Python, and Rust API plus a SQL layer that AI agents can use to inspect, decompile, annotate, and iterate on binaries. In ...
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