CERA-MoA: Co-Evolving Routing Mechanisms with Continually Learning LLM Agents
CERA-MoA is a reinforcement learning framework where query routing and agent fine-tuning co-evolve, outperforming static Mixture-of-Agents routing baselines.
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Stories tagged #mixture-of-agents
Enhancing Accessibility of Medical Texts through Large Language Model-Driven Plain Language Adaptation
Study shows LLMs with Mixture-of-Agents and QLoRA finetuning effectively simplify medical texts into plain language while preserving content.