3 citations · 4 across the 6 of their papers we have counts for
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cs.SE2026
Reproducible, Explainable, and Effective Evaluations of Agentic AI for Software Engineering
Jingyue Li, André Storhaug
With the advancement of Agentic AI, researchers are increasingly leveraging autonomous agents to address challenges in software engineering (SE). However, the large language models…
cs.SE2026
Favia: Forensic Agent for Vulnerability-fix Identification and Analysis
André Storhaug, Jiamou Sun, Jingyue Li
Identifying vulnerability-fixing commits corresponding to disclosed CVEs is essential for secure software maintenance but remains challenging at scale, as large repositories contai…
cs.SE2024★ 3 cited
Parameter-Efficient Fine-Tuning of Large Language Models for Unit Test Generation: An Empirical Study
André Storhaug, Jingyue Li
Parameter-efficient fine-tuning (PEFT) methods, which fine-tune only a subset of model parameters, offer a promising solution by reducing the computational costs of tuning large la…