When Models Edit Too Much: On the Fidelity of Minimal Code Edits
This work constructs an evaluation framework from 400 BigCodeBench problems by injecting controlled AST-level corruptions into reference solutions, giving each repair task a known minimal patch, and positions edit fidelity as a distinct axis of code-repair quality and shows that it can be measured and learned.
Tong-Yao Zhu, Wei-Lun Lim, Min-Yen Kan
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