Mixture of Complementary Agents for Robust LLM Ensemble

This research addresses the challenge of selecting proposer Large Language Models (LLMs) for multi-AI collaboration, where existing methods often neglect interactions among models. It redefines proposer selection as a combinatorial problem focusing on complementarity, acknowledging the computational complexities of traditional feature selection.