5 papers
SkillMOO: Multi-Objective Optimization of Agent Skills for Software Engineering
Jingzhi Gong, Ruizhen Gu, Zhiwei Fei +7
Agent skills are increasingly used to configure coding agents for software engineering (SE) tasks, yet current practice treats them as static, hand-crafted assets, or evolved on pa…
Comparing AI Coding Agents: A Task-Stratified Analysis of Pull Request Acceptance
Giovanni Pinna, Jingzhi Gong, David Williams +1
The rapid adoption of AI-powered coding assistants is transforming software development practices, yet systematic comparisons of their effectiveness across different task types and…
Analyzing Message-Code Inconsistency in AI Coding Agent-Authored Pull Requests
Jingzhi Gong, Giovanni Pinna, Yixin Bian +1
Pull request (PR) descriptions generated by AI coding agents are the primary channel for communicating code changes to human reviewers. However, the alignment between these message…
GA4GC: Greener Agent for Greener Code via Multi-Objective Configuration Optimization
Jingzhi Gong, Yixin Bian, Luis de la Cal +8
Coding agents powered by LLMs face critical sustainability and scalability challenges in industrial deployment, with single runs consuming over 100k tokens and incurring environmen…
GreenStableYolo: Optimizing Inference Time and Image Quality of Text-to-Image Generation
Jingzhi Gong, Sisi Li, Giordano d'Aloisio +4
Tuning the parameters and prompts for improving AI-based text-to-image generation has remained a substantial yet unaddressed challenge. Hence we introduce GreenStableYolo, which im…