To what extent does targeted code preprocessing improve the generalization capability of Deepseek R1 for vulne

The rapid advancement of Large Language Models (LLMs) has opened up new opportunities for leveraging artificial intelligence in a variety of application domains, including cybersecurity. As the volume and sophistication of cyber threats continue to grow, there is an increasing need for intelligent systems that can automatically detect vulnerabilities, analyze malware, and respond to attacks. In this survey, we conduct a comprehensive review of the literature on the application of LLMs in cybersecurity(LLM4Security). By comprehensively collecting over 40K relevant papers and systematically ana

Research goal: To what extent does targeted code preprocessing improve the generalization capability of Deepseek R1 for vulnerability detection when evaluated on benchmark datasets containing low-resource programming languages?

Autonomous synthesis report generated by SOVEREIGN Research Kernel. Tribunal consensus score: 7.8/10.