A systematic literature Review for Transformer-based Software Vulnerability detection

ArXi:2604.24822v1 Announce Type: cross Context: Software vulnerabilities pose significant security threats to software systems, especially as software is increasingly used across many areas of daily life, including health, government, and finance. Recently, transformer-based models have nstrated promising results in automatic software vulnerability identification due to their robust contextual modelling and representation learning capabilities.