Jing Li

Computational Humor with Multimodal LLMs: Methods, Datasets, Evaluation, and Challenges

This survey focuses on visual humor understanding in single-image and multi-panel artifacts, while treating humor generation as an emerging downstream frontier, and synthesizes benchmark design, evaluation protocols, and modeling paradigms based on multimodal alignment, evidence-grounded reasoning, and controlled generation.