model-ensemble

Maestro is a reinforcement learning-driven framework that dynamically composes ensembles of frozen expert models and skills for multimodal tasks, achieving 70.1% average accuracy with a 4B orchestrator, surpassing GPT-5 and Gemini-2.5-Pro.