Computer ScienceFindings of the Association for Computational Linguistics: NAACL 2025
Target-Augmented Shared Fusion-based Multimodal Sarcasm Explanation Generation
P. Goel, D. S. Chauhan, et al.
Sarcasm often hides its target — and TURBO uncovers it. This study introduces TURBO, a Target-aUgmented shaRed fusion-Based sarcasm explanation model that leverages a novel shared-fusion mechanism to fuse image and caption and explicitly models the sarcasm target to generate clearer explanations. Evaluated on MORE+, TURBO outperforms baselines by an average +3.3%, and human assessments find its explanations superior; the authors also examine LLMs in zero/one-shot settings and note their limitations. This research was conducted by Palaash Goel, Dushyant Singh Chauhan, and Md Shad Akhtar.
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