2 papers
cs.SE2026
Code2Bench: Scaling Source and Rigor for Dynamic Benchmark Construction
Zhe Zhang, Runlin Liu, Aishan Liu +3
The evaluation of code-generating Large Language Models (LLMs) is fundamentally constrained by two intertwined challenges: a reliance on static, easily contaminated problem sources…
cs.SE2025
Type-aware LLM-based Regression Test Generation for Python Programs
Runlin Liu, Zhe Zhang, Yunge Hu +3
Automated regression test generation has been extensively explored, yet generating high-quality tests for Python programs remains particularly challenging. Because of the Python's…