Lucene search
+L
Catalog
Vendors
Products
Timeline
Vulnerabilities
Sources
Documentation
Blog
Glossary
FAQ
Brand assets
Assessment
Agents dashboard
Agent Scanning
API Scanning
Assessment API
Alerts
Email notifications
Webhook notifications
Alerts API
SBOM package analysis
API Reference
Support
Settings
Sign in

From Evaluation to Optimisation: Hierarchy-Aware Training Signals for CWE Prediction in Python

🗓️ 23 Jul 2026 00:00:00Reported by Manile Srun, Carlos C. N. Kuhn, Muntasir AdnanType 
packetstormnews
 packetstormnews🔗 packetstorm.news👁 6 Views

Hierarchy-aware training signals improve CWE prediction; reinforcement learning reduces ALPHA penalty on the SVEN dataset, matching a larger zero-shot teacher.

Data

Build on a solid foundation with Vulners data

We provide the essential building blocks for cybersecurity solutions with comprehensive, structured, and constantly updated vulnerability and exploits data

Api

Power your application with Vulners API

The Vulners REST API offers reliable, high-performance access to vulnerability intelligence, with 99.9% SLA uptime and CDN-backed data delivery for seamless global access

App

Assess and manage vulnerabilities with Vulners tools

Built on top of Vulners' database and SDK, end-user solutions give security professionals and developers lightweight and powerful tools for vulnerability remediation

Book a live demo
23 Jul 2026 00:00Current
5.9Medium risk
Vulners AI Score5.9
cwe predictionhierarchical penaltytraining signalreinforcement learningdense rewardzero shot baselinesv en dataset
6