Vol. 2 No. 4 (2025)

We are pleased to present the fourth issue of our journal, featuring innovative research in artificial intelligence and machine learning. This issue highlights the comprehensive work by Xuebing Wang on multi-dimensional constraint-based test case generation for large language models. Wang's framework incorporates syntactic correctness, semantic consistency, task relevance, and boundary conditions through reinforcement learning optimization, achieving significant improvements in functional coverage and defect detection rates. This research provides the community with essential methodologies for systematic quality assurance and reliability testing of large-scale language models across diverse applications.