3 citations · 6 across the 10 of their papers we have counts for
5 papers · 1 filter
Towards Secure and Explainable Smart Contract Generation with Security-Aware Group Relative Policy Optimization
Lei Yu, Jingyuan Zhang, Xin Wang +3
Smart contracts automate the management of high-value assets, where vulnerabilities can lead to catastrophic financial losses. This challenge is amplified in Large Language Models…
SAEL: Leveraging Large Language Models with Adaptive Mixture-of-Experts for Smart Contract Vulnerability Detection
Lei Yu, Shiqi Cheng, Zhirong Huang +6
With the increasing security issues in blockchain, smart contract vulnerability detection has become a research focus. Existing vulnerability detection methods have their limitatio…
Smart-LLaMA-DPO: Reinforced Large Language Model for Explainable Smart Contract Vulnerability Detection
Lei Yu, Zhirong Huang, Hang Yuan +8
Smart contract vulnerability detection remains a major challenge in blockchain security. Existing vulnerability detection methods face two main issues: (1) Existing datasets lack c…
MOS: Towards Effective Smart Contract Vulnerability Detection through Mixture-of-Experts Tuning of Large Language Models
Hang Yuan, Lei Yu, Zhirong Huang +7
Smart contract vulnerabilities pose significant security risks to blockchain systems, potentially leading to severe financial losses. Existing methods face several limitations: (1)…
DeepCRCEval: Revisiting the Evaluation of Code Review Comment Generation
Junyi Lu, Xiaojia Li, Zihan Hua +5
Code review is a vital but demanding aspect of software development, generating significant interest in automating review comments. Traditional evaluation methods for these comment…