PatchEval: A New Benchmark for Evaluating LLMs on Patching Real-World Vulnerabilities
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Updated
Mar 11, 2026 - Python
PatchEval: A New Benchmark for Evaluating LLMs on Patching Real-World Vulnerabilities
AIBugHunter: A Practical Tool for Predicting, Classifying and Repairing Software Vulnerabilities
For our ISSTA23 paper "How Effective are Neural Networks for Fixing Security Vulnerabilities?" by Yi Wu, Nan Jiang, Hung Viet Pham, Thibaud Lutellier, Jordan Davis, Lin Tan, Petr Babkin, and Sameena Shah.
[2023 TDSC] Pre-trained Model-based Automated Software Vulnerability Repair: How Far are We?
Generating Vulnerability Security Fixes with Code Language Models
An LLM-based model for vulnerability patch generation in C/C++ source code
🔍 Predict software vulnerability trends using Multi-Recurrent Neural Networks for improved cybersecurity strategies and informed decision-making.
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