Compositional AI

CoCoDA: Co-evolving Compositional DAG for Tool-Augmented Agents

CoCoDA proposes a framework for tool-augmented language models, utilizing a co-evolving compositional code DAG to manage and retrieve tools efficiently. This approach addresses challenges in scaling tool libraries by encoding typed, compositional structures and pruning candidates through symbolic signature unification.