Papers by Yanxi Zhao
MemeReaCon: Probing Contextual Meme Understanding in Large Vision-Language Models (2025.emnlp-main)
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Zhengyi Zhao, Shubo Zhang, Yuxi Zhang, Yanxi Zhao, Yifan Zhang, Zezhong Wang, Huimin Wang, Yutian Zhao, Bin Liang, Yefeng Zheng, Binyang Li, Kam-Fai Wong, Xian Wu
| Challenge: | Current approaches focus on isolated meme analysis, either for harmful content detection or standalone interpretation, overlooking a fundamental challenge: the same meme can express different intents depending on its conversational context. |
| Approach: | They propose a benchmark to evaluate how large vision language models understand memes in their original context. |
| Outcome: | The proposed benchmark evaluates how large vision language models understand meme intent in their original context. |
From Simple to Complex: A Progressive Framework for Document-level Informative Argument Extraction (2023.findings-emnlp)
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| Challenge: | Existing methods for document-level event argument extraction use memory to store the results of already predicted events. |
| Approach: | They propose a simple-to-complex progressive framework for document-level event argument extraction . they first calculate the difficulty of each event and then conduct the extraction following a simpler order . |
| Outcome: | The proposed model outperforms previous methods by 1.4% in the document-level EAE task. |