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…
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…
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…