AI RESEARCH
v-HUB: A Benchmark for Video Humor Understanding from Vision and Sound
arXiv CS.AI
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ArXi:2509.25773v2 Announce Type: replace-cross 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