A two-stage detector-plus-LLM-fixer trained on a new, LLM-filtered dataset reports state-of-the-art code-comment inconsistency detection (F1 89.54%) and 18.84% relative GLEU gain in repair.
Towards Quality Assurance of Natural Language in Code ,
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CCISolver: End-to-End Detection and Repair of Method-Level Code-Comment Inconsistency
A two-stage detector-plus-LLM-fixer trained on a new, LLM-filtered dataset reports state-of-the-art code-comment inconsistency detection (F1 89.54%) and 18.84% relative GLEU gain in repair.