Mixture of Agents(MoA)

Layered ensemble in which multiple LLM proposer agents at each layer receive all responses from the previous layer as auxiliary context, iteratively refining their answers before a final aggregator synthesizes them. Because models produce better answers when shown peer responses, a stack of open-source proposers can outperform a single frontier model.