3 citations · 3 across the 2 of their papers we have counts for
4 papers
SolContractEval: A Benchmark for Evaluating Contract-Level Solidity Code Generation
Zhifan Ye, Jiachi Chen, Zhenzhe Shao +3
The rise of blockchain has brought smart contracts into mainstream use, creating a demand for smart contract generation tools. While large language models (LLMs) excel at generatin…
Zero-Shot Cross-Domain Code Search without Fine-Tuning
Keyu Liang, Zhongxin Liu, Chao Liu +3
Code search aims to retrieve semantically relevant code snippets for natural language queries. While pre-trained language models (PLMs) have shown remarkable performance in this ta…
LLM4SZZ: Enhancing SZZ Algorithm with Context-Enhanced Assessment on Large Language Models
Lingxiao Tang, Jiakun Liu, Zhongxin Liu +2
The SZZ algorithm is the dominant technique for identifying bug-inducing commits and serves as a foundation for many software engineering studies, such as bug prediction and static…
Instructive Code Retriever: Learn from Large Language Model's Feedback for Code Intelligence Tasks
Jiawei Lu, Haoye Wang, Zhongxin Liu +3
Recent studies proposed to leverage large language models (LLMs) with In-Context Learning (ICL) to handle code intelligence tasks without fine-tuning. ICL employs task instructions…