HCoT integrates a heuristic classification model into LLM generation to structure reasoning, delivering higher accuracy and better token efficiency than CoT and ToT on inductive tasks and the 24 Game.
This formalization is then used to inform a structured comparison of the theoretical strengths and weaknesses of the different ―of - Thought‖ paradigms for problem -solving
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Heuristic Classification of Thoughts Prompting (HCoT): Integrating Expert System Heuristics for Structured Reasoning into Large Language Models
HCoT integrates a heuristic classification model into LLM generation to structure reasoning, delivering higher accuracy and better token efficiency than CoT and ToT on inductive tasks and the 24 Game.