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16 SEP 2026 · Paper

CERA-MoA: Co-Evolving Routing Mechanisms with Continually Learning LLM Agents

This paper proposes a new framework for Mixture-of-Agents that allows query routing and agent fine-tuning to evolve together, improving the ability of agents to adapt to changing capabilities. Practitioners might care about this approach because it can lead to more efficient and effective data-driven specialization in complex tasks.

reinforcement learning mixture-of-agents continual learning agent specialization adaptive routing

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CERA-MoA: Co-Evolving Routing Mechanisms with Continually Learning LLM Agents