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Qiu-Shi Wu

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#machine learning Conference Open access Sep 2025

What Do They Fix? LLM-Aided Categorization of Security Patches for Critical Memory Bugs

DUALLM, a dual-method pipeline that integrates two approaches based on a Large Language Model (LLM) and a fine-tuned small language model, achieves 87.4% accuracy and an F1-score of 0.875, significantly outperforming prior solutions.

Xing-Yu Li, Jue-Fei Pu, Yifan Wu et al. · 1 citation
#artificial intelligence Preprint Sep 2026

The History Is the Detector: Executing CVE Patch History, End-to-End

Public vulnerability databases collect rich information about known software flaws, including their weakness types, affected components, and related patches. Fixing commits provide the exact code changes that removed these flaws. While these records capture why the original code was unsafe, they are documented mainly f...

Qiu-Shi Wu, Kevin Eykholt, Youngja Park et al. · 0 citations

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