3 citations · 4 across the 6 of their papers we have counts for
6 papers
A Role-Based LLM Framework for Structured Information Extraction from Healthy Food Policies
Congjing Zhang, Ruoxuan Bao, Jingyu Li +3
Current Large Language Model (LLM) approaches for information extraction (IE) in the healthy food policy domain are often hindered by various factors, including misinformation, spe…
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…
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…
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…
Efficient Avoidance of Vulnerabilities in Auto-completed Smart Contract Code Using Vulnerability-constrained Decoding
André Storhaug, Jingyue Li, Tianyuan Hu
Auto-completing code enables developers to speed up coding significantly. Recent advances in transformer-based large language model (LLM) technologies have been applied to code syn…
Evaluating the Impact of ChatGPT on Exercises of a Software Security Course
Jingyue Li, Per Håkon Meland, Jakob Svennevik Notland +2
Along with the development of large language models (LLMs), e.g., ChatGPT, many existing approaches and tools for software security are changing. It is, therefore, essential to und…