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Article . 2025
License: CC BY
Data sources: Datacite
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Smart-LLaMA-DPO: Reinforced Large Language Model for Explainable Smart Contract Vulnerability Detection

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

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.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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