SynCred-Bench shows that 15 MLLMs reach only 10.5% TPR, open-source detectors under 5%, commercial APIs 57.6%, and humans 63% TPR at 5% FPR when identifying AI-generated images with synthetic credibility.
InCompanion Proceedings of the ACM on Web Con- ference 2025, pages 785–788
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AMuFC improves multimodal fact-checking accuracy by adaptively determining visual evidence necessity via a dedicated Analyzer before verification rather than always incorporating images.
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SynCred-Bench: Benchmarking Synthetic Credibility in AI-Generated Visual Misinformation
SynCred-Bench shows that 15 MLLMs reach only 10.5% TPR, open-source detectors under 5%, commercial APIs 57.6%, and humans 63% TPR at 5% FPR when identifying AI-generated images with synthetic credibility.
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Is a Picture Worth a Thousand Words? Adaptive Multimodal Fact-Checking with Visual Evidence Necessity
AMuFC improves multimodal fact-checking accuracy by adaptively determining visual evidence necessity via a dedicated Analyzer before verification rather than always incorporating images.