Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation

arXiv:2312.02439v3 Announce Type: replace-cross
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 popular Oogiri game which needs …

arxiv box creative cs.ai cs.cl cs.cv humor language language models large language large language models think thought type