Improving Large Language Model Reasoning Through Adaptive Coarse-to-Fine Refinement

MAGICORE, a framework for Multi Agent Iteration for Coarse-to-fine Refinement, improves Large Language Model reasoning by adaptively applying coarse-grained aggregation or fine-grained, iterative multi-agent refinement based on problem difficulty.