3 papers
cs.CY2026
The Easy Trap: Why LLMs Underestimate Misconception-Driven Difficulty
Amanda La Hadi, Muhammad Johan Alibasa, Guanliang Chen +1
Large language models (LLMs) are increasingly used for estimating item difficulty in educational assessment. However, it remains unclear whether such estimates reflect how learners…
cs.LG2025
New Money: A Systematic Review of Synthetic Data Generation for Finance
James Meldrum, Basem Suleiman, Fethi Rabhi +1
Synthetic data generation has emerged as a promising approach to address the challenges of using sensitive financial data in machine learning applications. By leveraging generative…
cs.SE2025
Automated Unit Test Case Generation: A Systematic Literature Review
Jason Wang, Basem Suleiman, Muhammad Johan Alibasa
Software is omnipresent within all factors of society. It is thus important to ensure that software are well tested to mitigate bad user experiences as well as the potential for se…