AI RESEARCH
AutoLab: Can Frontier Models Solve Long-Horizon Auto Research and Engineering Tasks?
arXiv CS.AI
•
ArXi:2606.05080v1 Announce Type: new Scientific and engineering progress is fundamentally a long-horizon iterative process: proposing changes, running experiments, measuring outcomes, and continuously refining artifacts. Yet existing benchmarks for frontier models primarily evaluate either single-turn responses or short-horizon agent trajectories, failing to capture the challenges of sustained iterative improvement over extended time horizons. To address this gap, we