Meta-Team is a collaborative self-evolution framework that turns multi-agent execution experience into reusable improvements at agent, coordination, and team levels, outperforming baselines on six benchmarks.
Cross-task experiential learning on llm-based multi-agent collaboration.arXiv preprint arXiv:2505.23187, 2025
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CoMIC is a parameter-free cloud-edge framework that circulates memory and insights between edge agents and a central critic to improve long-horizon LLM agent performance on symbolic and text tasks.
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Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems
Meta-Team is a collaborative self-evolution framework that turns multi-agent execution experience into reusable improvements at agent, coordination, and team levels, outperforming baselines on six benchmarks.
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CoMIC: Collaborative Memory and Insights Circulation for Long-Horizon LLM Agents in Cloud-Edge Systems
CoMIC is a parameter-free cloud-edge framework that circulates memory and insights between edge agents and a central critic to improve long-horizon LLM agent performance on symbolic and text tasks.