AI RESEARCH
MuVaC: A Variational Causal Framework for Multimodal Sarcasm Understanding in Dialogues
arXiv CS.CL
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ArXi:2601.20451v2 Announce Type: replace The prevalence of sarcasm in multimodal dialogues on the social platforms presents a crucial yet challenging task for understanding the true intent behind online content. Comprehensive sarcasm analysis requires two key aspects: Multimodal Sarcasm Detection (MSD) and Multimodal Sarcasm Explanation (MuSE). Intuitively, the act of detection is the result of the reasoning process that explains the sarcasm. Current research predominantly focuses on addressing either MSD or MuSE as a single task.