To what extent does fine-tuning Deepseek R1 on JavaScript-specific vulnerability patterns improve its detectio

Abstract

Abstract: Large language models (LLMs) have demonstrated significant potential in various tasks, including those requiring human-level intelligence, such as vulnerability detection. However, recent efforts to use LLMs for vulnerability detection remain preliminary, as they lack a deep understanding of whether a subject LLM's vulnerability reasoning capability stems from the model itself or from external aids such as knowledge retrieval and tooling support. In this paper, we aim to decouple LLMs' vulnerability reasoning from other capabilities, such as vulnerability knowledge adoption, context informatio

Research Question

To what extent does fine-tuning Deepseek R1 on JavaScript-specific vulnerability patterns improve its detection accuracy over pre-trained weights when evaluated on the Big-Vul benchmark?

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