activity
20232025
most citedLLM-SmartAudit: Advanced Smart Contract Vulnerability Detection

4 citations · 4 across the 5 of their papers we have counts for

collaborators

9 papers

cs.CR2025

Distilling Lightweight Language Models for C/C++ Vulnerabilities

Zhiyuan Wei, Xiaoxuan Yang, Jing Sun +1

The increasing complexity of modern software systems exacerbates the prevalence of security vulnerabilities, posing risks of severe breaches and substantial economic loss. Conseque…

cs.CR2025

Adaptive Plan-Execute Framework for Smart Contract Security Auditing

Zhiyuan Wei, Jing Sun, Zijian Zhang +2

Large Language Models (LLMs) have shown great promise in code analysis and auditing; however, they still struggle with hallucinations and limited context-aware reasoning. We introd…

cs.AI2024

The Fusion of Large Language Models and Formal Methods for Trustworthy AI Agents: A Roadmap

Yedi Zhang, Yufan Cai, Xinyue Zuo +9

Large Language Models (LLMs) have emerged as a transformative AI paradigm, profoundly influencing daily life through their exceptional language understanding and contextual generat…

cs.SE2024

SoK: Detection and Repair of Accessibility Issues

Liming Nie, Hao Liu, Jing Sun +6

There is an increasing global emphasis on information accessibility, with numerous researchers actively developing automated tools to detect and repair accessibility issues, thereb…

cs.CR20244 cited

LLM-SmartAudit: Advanced Smart Contract Vulnerability Detection

Zhiyuan Wei, Jing Sun, Zijiang Zhang +3

The immutable nature of blockchain technology, while revolutionary, introduces significant security challenges, particularly in smart contracts. These security issues can lead to s…

cs.SE2024

MaCTG: Multi-Agent Collaborative Thought Graph for Automatic Programming

Zixiao Zhao, Jing Sun, Zhe Hou +4

With the rapid advancement of Large Language Models (LLMs), LLM-based approaches have demonstrated strong problem-solving capabilities across various domains. However, in automatic…