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Runtime diagnoses from multi-faceted bug reproduction tests can significantly boost patch generation effectiveness, leading to a 75.7% resolution rate on verified issues.
Natural backdoor vulnerabilities are not just a theoretical concern; they are prevalent in CodeLMs and can significantly compromise code security.
LLMs underperform traditional ML methods in software fairness tasks, challenging the assumption that they offer a silver bullet solution for bias mitigation.
