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CORE: Conflict-Oriented Reasoning for General Multimodal Manipulation Detection

cs.AI updates on arXiv.org·
AI Analysis

The CORE framework introduces a novel approach to detecting multimodal misinformation by focusing on intrinsic conflicts within the content, enhancing the capabilities of multimodal large language models. This method shows promising results in adapting to new manipulation types with minimal data, potentially improving the reliability of information in the age of generative AI.

Key Topics

COREmultimodal large language modelsConflict Attribution Corpus

Originally reported by cs.AI updates on arXiv.org. Read the full article ↗

CORE: Conflict-Oriented Reasoning for General Multimodal Manipulation Detection | AI Crypto Daily Wire