K. Gladkikh

Evaluating the Effectiveness of Repeated Self- Consistency Passes by Small Language Models for Binary Vulnerability Detection in Source Code

This paper addresses stochastic variance in the decisions of large language models (LLMs) during binary classification of software vulnerabilities, using the open-source model Qwen3-8B. We evaluate the self-consistency method on a balanced Python dataset built for this purpose. The method's effectiveness depends strong...