The ACM Multimedia 2025 Grand Challenge of Truthful and Responsible Multimodal Learning

摘要

The Truthful and Responsible Multimodal Learning Challenge aims to foster advancements in the development of reliable and trustworthy multimodal AI systems by addressing two crucial tasks: multimodal hallucination detection and multimodal factuality detection. Task A focuses on detecting hallucinated elements in AI-generated image captions, such as fabricated objects or attributes. Task B targets verifying the factual accuracy of textual claims using visual and contextual cues. We establish benchmarks that support responsible multimodal AI in diverse real-world applications.