Author

Kaiyuan Wang

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#artificial intelligence Preprint Oct 2026

Assembling Insights for Agentic Machine Learning Engineering Systems

Agentic machine learning engineering (MLE) is an emerging AI4SE application for complex ML tasks and a step toward recursive self-improvement of AI systems. Recent agentic MLE systems show the value of leveraging insights from related MLE tasks: some systems condition code generation on expert domain knowledge, which i...

Bi-Hui Jin, Yin-Xi Li, Kai-Yuan Wang et al. · 0 citations

Preprint Jul 2026

TestEvo-Bench: An Executable and Live Benchmark for Test and Code Co-Evolution

TestEvo-Bench is a benchmark of test and code co-evolution tasks mined from software repositories, with two tracks: in test generation, the agent shall write new tests to capture the new software behavior; in test update, the agent shall adapt failing existing tests to the changed software behavior.

J. Wang, Kaiyuan Wang, Pengyu Nie · 1 citation