Rapid advances in image generation models call for interpretable AI-generated image detection methods that not only determine authenticity but also provide supporting visual evidence. Existing approaches may produce inconsistencies between generated explanations and localized evidence regions, undermining the reliabili...
Kun Guo, Yu-Zhou Yang, Haoyue Wang et al.· 0 citations
The proliferation of deceptive content in social networks necessitates robust Fake News Detection (FND) systems. Existing pipelines either train detectors on labeled data or leverage Large Language Models (LLMs) for their reasoning ability. However, current approaches remain either limited in generalizability or prone...
Yuzhou Yang, Qichao Ying, Sheng Li et al.· 0 citations
SRM-FND is proposed, a self-reflective multimodal reasoning framework for short-video fake news detection that outperforms strong baselines, produces more reliable and interpretable predictions, and delivers noticeable improvements in cross-dataset performance.
Pin-Jie Xu, Yu-Zhou Yang, Zhisheng Tan et al.· 0 citations
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