COLLATOR: Compositional Multi-Agent Orchestration with Counterfactual Reinforcement Learning.

arXiv:2605.14483v2 Announce Type: replace Abstract: Large language models (LLMs) provide a flexible foundation for multi-agent systems, but their effectiveness and computational cost depend critically on orchestration design. Across different tasks, role desig