Neurosymbolic Repo-level Code Localization
Code localization is a cornerstone of autonomous software engineering. Recent advancements have achieved impressive performance on real-world issue benchmarks. However, we identify a critical yet overlooked bias: these benchmarks are saturated with keyword references (e.g. file paths, function names), encouraging models to rely on superficial lexical matching rather than genuine structural reasoning. We term this phenomenon the Keyword Shortcut. To address this, we formalize the challenge of Keyword-Agnostic Logical Code Localization (KA-LCL) and introduce KA-LogicQuery, a diagnostic benchmark requiring structural reasoning without any naming hints. Our evaluation reveals a catastrophic p...
| Authors | Xiufeng Xu, Xiufeng Wu, Zejun Zhang et al. |
|---|---|
| Primary category | cs.SE |
| Published | 17 April 2026 |
| Last updated at source | 20 April 2026 |
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