ParaVul: A Parallel Large Language Model and Retrieval-Augmented Framework for Smart Contract Vulnerability Detection

ParaVul is a framework that uses LLMs (large language models, AI systems trained on huge amounts of text) combined with RAG (retrieval-augmented generation, where an AI pulls in external documents to answer questions) to detect vulnerabilities in smart contracts (self-executing programs on blockchain networks). The framework improves detection accuracy and reduces computational costs by using a new fine-tuning technique called SLoRA (Sparse Low-Rank Adaptation) and combining multiple detection methods through a verification module.