VulKey introduces hierarchical expert knowledge abstractions to guide LLMs in vulnerability repair, reporting 31.5% accuracy on PrimeVul (7.6% above best baseline) and strong results on Vul4J.
Clement, and Neel Sundaresan
3 Pith papers cite this work. Polarity classification is still indexing.
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2026 3verdicts
UNVERDICTED 3representative citing papers
CASCADE finds code-documentation mismatches by running LLM-generated tests from docs and confirming failure only when documentation-derived code succeeds on the same test.
TRAILS infers code correctness by aggregating LLM judgments on input-output pairs from category-partitioned specification tests, improving MCC by up to 39% over Zero-Shot COT on LiveCodeBench and CoCoClaNeL.
citing papers explorer
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VulKey: Automated Vulnerability Repair Guided by Domain-Specific Repair Patterns
VulKey introduces hierarchical expert knowledge abstractions to guide LLMs in vulnerability repair, reporting 31.5% accuracy on PrimeVul (7.6% above best baseline) and strong results on Vul4J.
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CASCADE: Detecting Inconsistencies between Code and Documentation with Automatic Test Generation
CASCADE finds code-documentation mismatches by running LLM-generated tests from docs and confirming failure only when documentation-derived code succeeds on the same test.
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Inferring Code Correctness from Specification
TRAILS infers code correctness by aggregating LLM judgments on input-output pairs from category-partitioned specification tests, improving MCC by up to 39% over Zero-Shot COT on LiveCodeBench and CoCoClaNeL.