Author

Ruo-Bing Jiang

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Preprint Oct 2026

GRAML: Graph-Grounded Reasoning and Multi-Task Learning for LLM-Based Software Vulnerability Detection

Large Language Models (LLMs) have been widely applied to software vulnerability detection. However, their performance is often limited by insufficient use of control-flow and data-flow information. In this paper, we propose GRAML, a framework that combines graph evidence, vulnerability description generation, and multi...

Ruo-Han Li, Miao-Qing Tian, Hai-Peng Qu et al. · 0 citations

#software testing Preprint Oct 2026

GRAML: Graph-Grounded Reasoning and Multi-Task Learning for LLM-Based Software Vulnerability Detection

GRAML, a framework that combines graph evidence, vulnerability description generation, and multi-task training, is proposed, and practical guidance for building more reliable and secure software engineering systems with large language models is provided.

Ruo-Han Li, Miao-Qing Tian, Hai-Peng Qu et al. · 0 citations