您当前的位置：
首页 >
文章列表页 >
Evaluation of Low-Rank Adaptation Fine-Tuned Open-Source Large Models for C++ Vulnerability Detection
更新时间：2026-07-22

    • Evaluation of Low-Rank Adaptation Fine-Tuned Open-Source Large Models for C++ Vulnerability Detection

    • Software Guide   Pages: 1-9(2026)

    • DOI：10.11907/rjdk.251577    

      CLC： TP183

    • Received：23 August 2025，

      Online First：21 July 2026，

    移动端阅览

  • LIU Qingchan, JIN Qihao, YIN Yujun, et al. Evaluation of Low-Rank Adaptation Fine-Tuned Open-Source Large Models for C++ Vulnerability Detection[J/OL]. Software Guide, 2026, 1-9. DOI： 10.11907/rjdk.251577.

  •  
  •  

0

Views

0

下载量

0

CSCD

Alert me when the article has been cited
提交
Tools
Download
Export Citation
Share
Add to favorites
Add to my album

Related Articles

A Study on the Abstract Generation Method for Academic Lecture Posters Based on Large Language Models
GenAI-Empowered Programming： Multidimensional Impacts and Countermeasures of Generative Artificial Intelligence on Programming Education
Hyper-Intelligence Convergence Driven Restructuring of Large-Scale Scientific Computing Talent Cultivation Mode——Practices Based on Technological Evolution and Educational Ecology
Cross Platform One-Stop Computing Power Service Management System
Lightweight Detection Algorithm of Cow Nipple for Milking Robot

Related Author

DU Juan
WU Xiao
WANG Wei
XIAO Zunjie
ZHANG Xiaoqing

Related Institution

Library of Southern University of Science and Technology
Library of City University of Hong Kong
Department of Computer Science and Engineering， Southern University of Science and Technology
0