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.