Author

Shu Wang

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Preprint Oct 2026

BenchChecker: Assessing the Credibility of Bug-Fixing Benchmarks for LLMs

While Large Language Models (LLMs) show promise for Automatic Program Repair (APR), existing benchmarks suffer from data contamination, in which test samples appear in training sets, artificially inflating performance. To address this, we propose BenchChecker, a framework compatible with both open-source and closed-sou...

Di Wu, Xu He, Shu Wang et al. · 1 citation