VLAI: A RoBERTa-Based Model for Automated Vulnerability Severity
  Classification
Authors: name: Cédric Bonhomme, name: Alexandre Dulaunoy
Organization: Computer Incident Response Center Luxembourg

This paper presents VLAI, a transformer-based model that predicts software
vulnerability severity levels directly from text descriptions. Built on
RoBERTa, VLAI is fine-tuned on over 600,000 real-world vulnerabilities and
achieves over 82% accuracy in predicting severity categories, enabling faster
and more consistent triage ahead of manual CVSS scoring. The model and dataset
are open-source and integrated into the Vulnerability-Lookup service.