7 papers
Bash-Commenter: Leveraging Syntax-Aware Preference Optimization to Reinforce Large Language Model for Bash Code Comment Generation
Lei Yu, Jingyuan Zhang, Xin Wang +5
Bash script comprehension is challenging due to Bash's syntactic freedom and complex command structures. Despite its critical role in system administration, Bash scripts often lack…
BashCoder-R1: Towards Robust and Explainable Bash Code Generation with Robustness-Aware Group Relative Policy Optimization
Lei Yu, Peng Wang, Jia Xu +7
Bash scripts are critical for system administration, DevOps, and CI/CD, where code quality affects stability and security. However, LLM-generated scripts often lack reasoning and c…
ATLAS: Agentic Taxonomy of Large-Scale Software Ecosystems
Junyi Lu, Mengyao Lyu, Jiahui Wu +6
The open-source ecosystem on GitHub lacks a systematic hierarchical taxonomy of software repositories. GitHub Topics, the dominant organizational mechanism, is flat, inconsistent,…
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…
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…