MDToC: Metacognitive Dynamic Tree of Concepts for Boosting Mathematical Problem-Solving of Large Language Models
MDToC is a three-phase prompting technique that improves LLMs' math reasoning by turning abstract thoughts into structured concepts and verifiable calculations. It uses planning, monitoring, and reviewing stages to guide the model, consistently outperforming existing methods like ToT and GoT across various benchmarks without needing extra hints.