Let's think outside the box: Exploring leap-of-thought in large language models with creative humor generation

Abstract

Chain-of-Thought (CoT) guides large language models (LLMs) to reason step-by-step, and can motivate their logical reasoning ability. While effective for logical tasks, CoT is not conducive to creative problem-solving which often requires out-of-box thoughts and is crucial for innovation advancements. In this paper, we explore the Leap-of-Thought (LoT) abilities within LLMs – a non-sequential, creative paradigm involving strong associations and knowledge leaps. To this end, we study LLMs on the

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