2026
Investigating Component Contributions in Multi-Agent ML Systems
ICML 2026poster
Autonomous agents for machine learning engineering have advanced rapidly, yet comparing their effectiveness remains difficult. Existing systems combine different techniques---multi-agent decomposition, iterative refinement, memory management, and planning---in varying configurations, making it uncle…