Smart-LLaMA-DPO: Reinforced Large Language Model for Explainable Smart Contract Vulnerability Detection

Smart-LLaMA-DPO is an advanced smart contract vulnerability detection and explanation system built upon the LLaMA-3.1-8B model. The system addresses key challenges in smart contract security using a comprehensive approach that combines Continual Pre-training (CPT), Supervised Fine-tuning (SFT), and Direct Preference Optimization (DPO). This ensures enhanced performance in identifying vulnerabilities and generating high-quality explanations for detected issues.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-27
DOI
https://doi.org/10.5281/zenodo.14935364
Primary Topic
Cell Adhesion Molecules Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Smart-LLaMA-DPO: Reinforced Large Language Model for Explainable Smart Contract Vulnerability Detection

Zenodo (CERN European Organization for Nuclear Research)
Cell Adhesion Molecules Research
article

Smart-LLaMA-DPO: Reinforced Large Language Model for Explainable Smart Contract Vulnerability Detection

article en

Abstract

Smart-LLaMA-DPO is an advanced smart contract vulnerability detection and explanation system built upon the LLaMA-3.1-8B model. The system addresses key challenges in smart contract security using a comprehensive approach that combines Continual Pre-training (CPT), Supervised Fine-tuning (SFT), and Direct Preference Optimization (DPO). This ensures enhanced performance in identifying vulnerabilities and generating high-quality explanations for detected issues.

Zenodo (CERN European Organization for Nuclear Research)
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Cell Adhesion Molecules Research
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Smart-LLaMA-DPO: Reinforced Large Language Model for Explainable Smart Contract Vulnerability Detection · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS