activity
20192026
most citedWhen ChatGPT Meets Smart Contract Vulnerability Detection: How Far Are We?

73 citations · 250 across the 53 of their papers we have counts for

collaborators
Showing 2024 · cs.SEShow all

17 papers · 2 filters

cs.SE2024★ 1 cited

Defining and Detecting the Defects of the Large Language Model-based Autonomous Agents

Kaiwen Ning, Jiachi Chen, Jingwen Zhang +5

AI agents are systems capable of perceiving their environment, autonomously planning and executing tasks. Recent advancements in LLM have introduced a transformative paradigm for A…

cs.SE2024★ 2 cited

RepoTransBench: A Real-World Multilingual Benchmark for Repository-Level Code Translation

Yanli Wang, Yanlin Wang, Suiquan Wang +8

Repository-level code translation refers to translating an entire code repository from one programming language to another while preserving the functionality of the source reposito…

cs.SE2024★ 1 cited

Definition and Detection of Centralization Defects in Smart Contracts

Zewei Lin, Jiachi Chen, Jiajing Wu +2

In recent years, security incidents stemming from centralization defects in smart contracts have led to substantial financial losses. A centralization defect refers to any error, f…

cs.SE2024★ 9 cited

RMCBench: Benchmarking Large Language Models' Resistance to Malicious Code

Jiachi Chen, Qingyuan Zhong, Yanlin Wang +6

The emergence of Large Language Models (LLMs) has significantly influenced various aspects of software development activities. Despite their benefits, LLMs also pose notable risks,…

cs.SE2024★ 5 cited

Agents in Software Engineering: Survey, Landscape, and Vision

Yanlin Wang, Wanjun Zhong, Yanxian Huang +7

In recent years, Large Language Models (LLMs) have achieved remarkable success and have been widely used in various downstream tasks, especially in the tasks of the software engine…

cs.SE2024★ 1 cited

LLM Hallucinations in Practical Code Generation: Phenomena, Mechanism, and Mitigation

Ziyao Zhang, Yanlin Wang, Chong Wang +2

Code generation aims to automatically generate code from input requirements, significantly enhancing development efficiency. Recent large language models (LLMs) based approaches ha…