CERA-MoA co-evolves routing with continually learning LLM agents
Paper proposes CERA-MoA, which jointly trains query routing and agent fine-tuning instead of treating them as separate processes. The authors argue the split prevents routing strategies from adapting as agent capabilities evolve during post-training.
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