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Kaiyuan Wang

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#artificial intelligence Preprint Oct 2026

Assembling Insights for Agentic Machine Learning Engineering Systems

This work systematically study how insights from related MLE tasks affect agentic MLE systems, and how their impact depends on insight type and injection method, and introduces MLE-InsightBench, a benchmark of 160 Kaggle competitions across 12 domains.

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

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