TypedThinker: Typed Thinking Improves Large Language Model Reasoning
TypedThinker: Typed Thinking Improves Large Language Model Reasoning
Despite significant advancements in the reasoning capabilities of Large Language Models (LLMs), the lack of diverse reasoning solutions often makes them trapped in a limited solution search area. In this paper, we propose TypedThinker, a novel framework that enhances LLMs' problem-solving abilities by incorporating multiple reasoning types (deductive, inductive, abductive, …