{"slug": "cera-moa-co-evolving-routing-mechanisms-with-continually-learning-llm-agents", "title": "CERA-MoA: Co-Evolving Routing Mechanisms with Continually Learning LLM Agents", "summary": "Researchers introduced CERA-MoA, a Mixture-of-Agents framework that co-evolves query routing with continually learning LLM agents, addressing the disconnect in current MoA paradigms where routing and agent fine-tuning are treated as separate processes. The work targets the limitation that routing strategies cannot adapt to evolving agent capabilities during post-training.", "body_md": "Current Mixture-of-Agents (MoA) paradigms generally treat query routing and agent fine-tuning as separate processes, limiting their ability to respond to evolving agent capabilities. This disconnect prevents routing strategies from adapting to evolving agent capabilities during post-training and pre", "url": "https://wpnews.pro/news/cera-moa-co-evolving-routing-mechanisms-with-continually-learning-llm-agents", "canonical_source": "https://aiflash.com/news/121331/", "published_at": "2026-09-17 12:00:07+00:00", "updated_at": "2026-09-17 12:24:32.148689+00:00", "lang": "en", "topics": ["artificial-intelligence", "large-language-models", "ai-agents", "machine-learning", "ai-research"], "entities": ["CERA-MoA", "Mixture-of-Agents"], "alternates": {"html": "https://wpnews.pro/news/cera-moa-co-evolving-routing-mechanisms-with-continually-learning-llm-agents", "markdown": "https://wpnews.pro/news/cera-moa-co-evolving-routing-mechanisms-with-continually-learning-llm-agents.md", "text": "https://wpnews.pro/news/cera-moa-co-evolving-routing-mechanisms-with-continually-learning-llm-agents.txt", "jsonld": "https://wpnews.pro/news/cera-moa-co-evolving-routing-mechanisms-with-continually-learning-llm-agents.jsonld"}}