Merlin generates CodeQL queries from natural language questions via RAG-based iteration and a self-test technique using assistive queries, achieving 3.8x higher task accuracy and 31% less completion time in user studies while finding additional software issues.
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Kumushi improves automated vulnerability repair by focusing LLM edits on root causes via dynamic localization and ranking, yielding more genuine fixes than prior agents on 178 C/C++ vulnerabilities.
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Generating Complex Code Analyzers from Natural Language Questions
Merlin generates CodeQL queries from natural language questions via RAG-based iteration and a self-test technique using assistive queries, achieving 3.8x higher task accuracy and 31% less completion time in user studies while finding additional software issues.
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Root-Cause-Driven Automated Vulnerability Repair
Kumushi improves automated vulnerability repair by focusing LLM edits on root causes via dynamic localization and ranking, yielding more genuine fixes than prior agents on 178 C/C++ vulnerabilities.