RepoProbe: Benchmarking Architecture-Aware Repository Comprehension with Checklists
The integration of Large Language Models (LLMs) into software engineering has shifted the focus from function-level generation to repository-scale assistance. However, existing benchmarks largely rely on bug reports from GitHub Issues, which often allow models to bypass genuine understanding via pattern matching on error logs. This misalignment under-measures Edit Bias, which refers to premature generation, where models prematurely propose code modifications instead of understanding the existing repository architecture. Furthermore, current LLM-as-a-Judge scalar scoring suffers from high variance and low interpretability. This work introduces RepoProbe, a novel benchmark for evaluating re...
| Authors | Yuexi Yang, Alyssa Wu, Ji Luo et al. |
|---|---|
| Primary category | cs.SE |
| Published | 5 August 2026 |
| Last updated at source | 6 August 2026 |
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