Sign inGet started
Paper · arXiv

Code-QA-Bench: Separating Code Reasoning from Documentation Memorization in Repository-Level QA

We present Code-QA-Bench, a fully automated framework for synthesizing repository-level code understanding benchmarks that separates genuine code comprehension from documentation recall and pretraining memorization. The framework makes two methodological contributions: (1) an answer-first generation pipeline where a tool-equipped agent explores source code to produce verified gold answers before deriving questions, ensuring every task is grounded in real code structure; and (2) a three-condition experimental design evaluating agents under closed-book (no repository), code-only (documentation removed), and documented (full repository) conditions, with deltas directly quantifying documentat...

AuthorsJun Zhang, JianYing Qu, Hanwen Du et al.
Primary categorycs.SE
Published28 May 2026
Last updated at source28 May 2026
cs.SEcs.AI
Embed this entry
<iframe src="https://silytics.si/embed/item/a081200f-2c1b-48e0-a3b7-01343a286454" width="420" height="190" style="border:0" loading="lazy" title="Silytics entry"></iframe>

Free, no tracking. More about feeds and embeds.

Silytics shows public metadata from arXiv and links to the original. Information may be incomplete or out of date. Last refreshed 17 October 2026. Licenses and terms of the original apply to the work itself. Not financial, legal or professional advice.