作者位次 #3/9ACL 2026Poster· Natural Language Processing
v- HUB : A Benchmark for Video Humor Understanding from Vision and Sound
Zhengpeng Shi · Yanpeng Zhao · Jianqun Zhou · Yuxuan Wang · Qinrong Cui · Wei BI · Song-Chun Zhu · Bo Zhao · Zilong Zheng
摘要
AI models capable of comprehending humor hold real-world promise—for example, enhancing engagement in human-machine interactions. To gauge and diagnose the capacity of multimodal large language models (MLLMs) for humor understanding, we introduce v-HUB, a novel video humor understanding benchmark...