activity
20222024
most citedRefactoring to Pythonic Idioms: A Hybrid Knowledge-Driven Approach Leveraging Large Language Models

16 citations · 62 across the 33 of their papers we have counts for

collaborators

33 papers

cs.SE2024

Architectural Patterns for Designing Quantum Artificial Intelligence Systems

Mykhailo Klymenko, Thong Hoang, Xiwei Xu +4

Utilising quantum computing technology to enhance artificial intelligence systems is expected to improve training and inference times, increase robustness against noise and adversa…

cs.SE2024

Automated Soap Opera Testing Directed by LLMs and Scenario Knowledge: Feasibility, Challenges, and Road Ahead

Yanqi Su, Zhenchang Xing, Chong Wang +4

Exploratory testing (ET) harnesses tester's knowledge, creativity, and experience to create varying tests that uncover unexpected bugs from the end-user's perspective. Although ET…

cs.SE2024

Human-Like Code Quality Evaluation through LLM-based Recursive Semantic Comprehension

Fangzhou Xu, Sai Zhang, Zhenchang Xing +3

Code quality evaluation involves scoring generated code quality based on a reference code for a specific problem statement. Currently, there are two main forms of evaluating code q…

cs.SE20242 cited

A Layered Architecture for Developing and Enhancing Capabilities in Large Language Model-based Software Systems

Dawen Zhang, Xiwei Xu, Chen Wang +2

Significant efforts has been made to expand the use of Large Language Models (LLMs) beyond basic language tasks. While the generalizability and versatility of LLMs have enabled wid…

cs.SE2024

A test-free semantic mistakes localization framework in Neural Code Translation

Lei Chen, Sai Zhang, Fangzhou Xu +4

In the task of code translation, neural network-based models have been shown to frequently produce semantically erroneous code that deviates from the original logic of the source c…

cs.SE2024

Blockchain-Enabled Accountability in Data Supply Chain: A Data Bill of Materials Approach

Yue Liu, Dawen Zhang, Boming Xia +4

In the era of advanced artificial intelligence, highlighted by large-scale generative models like GPT-4, ensuring the traceability, verifiability, and reproducibility of datasets t…