HumorGen: Cognitive Synergy for Humor Generation in Large Language Models via Persona-Based Distillation

This research introduces the Cognitive Synergy Framework to address the challenge of humor generation in LLMs, which conflicts with their standard next-word prediction objective. It utilizes a Mixture-of-Thought approach with six cognitive personas to synthesize diverse comedic perspectives, creating a theoretically grounded dataset used to fine-tune a 7B-parameter model that outperforms larger baselines.