Published June 4, 2026 | Version v1
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Robustness of Llama3 and Codestral in Vulnerability Classification Under Obfuscation

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  • 1. https://assignee.net

Description

This report synthesises findings from 10 peer-reviewed papers addressing the following research question: What is the impact of model size (e.g., 7B vs 70B) on the robustness of Llama3 and Codestral in classifying vulnerabilities in Big-Vul, measured by F1-score degradation under increasing levels of. 8 claims were extracted from source literature; 8 were independently verified against retrieved documents. An automated multi-reviewer quality assessment produced a score of 8.5/10. This report is a machine-generated literature synthesis and does not constitute original research.

Research goal: What is the impact of model size (e.g., 7B vs 70B) on the robustness of Llama3 and Codestral in classifying vulnerabilities in Big-Vul, measured by F1-score degradation under increasing levels of synthetic obfuscation?

Autonomous literature synthesis. Automated review score: 8.5/10. Full text and citation available at Assignee Research.

Notes

Machine-generated literature synthesis. Content is derived from peer-reviewed papers; see individual sources for authoritative data. Automated review score: 8.5/10. Published by Assignee Research (https://assignee.net).

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