FML-bench: A Controlled Study of AI Research Agent Strategies from the Perspective of Search Dynamics

ArXi:2605.17373v1 Announce Type: new AI research agents accelerate ML research by automating hypothesis generation, experimentation, and empirical refinement. Existing agent strategies range from greedy hill-climbing to tree search and evolutionary optimization, yet which strategy choices drive performance remains unclear.