4 papers
Prior Bias in Vision Language Models on UML Diagram Interpretation
Zaiyu Cheng, Khai-Nguyen Nguyen, Antonio Mastropaolo
Vision Language Models (VLMs) are increasingly applied to software engineering artifacts, especially UML class diagrams whose meaning depends on visual notation. Yet, it is unclear…
Prompt-Driven Code Summarization: A Systematic Literature Review
Afia Farjana, Zaiyu Cheng, Antonio Mastropaolo
Software documentation is essential for program comprehension, developer onboarding, code review, and long-term maintenance. Yet producing quality documentation manually is time-co…
An Empirical Study on the Effects of System Prompts in Instruction-Tuned Models for Code Generation
Zaiyu Cheng, Antonio Mastropaolo
Instruction-tuned Language Models (ILMs) have become essential components of modern AI systems, demonstrating exceptional versatility across natural language and reasoning tasks. A…
Not All Tokens Matter: Data-Centric Optimization for Efficient Code Summarization
Saima Afrin, Zaiyu Cheng, Tushar Sharma +3
The rapid advancement of Large Language Models (LLMs) has revolutionized software engineering automation, particularly in automated code summarization, which enhances program compr…