adversarial-code-verification

【数据与研究】Generate adversarial test suites that catch LLM code errors by analyzing constraint differences between correct and incorrect solutions. SAGA framework improves test detection rate 9.55% and verifier accuracy 12.14% by using human bug patterns and multi-input differential analysis.

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