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GenAI for Information Fusion Submission DeadLine: 30 June 2025 We invite high-quality submissions that present original research, case studies, and reviews in areas including, but not limited to: Theoretical Foundations of GenAI for Information Fusion: New algorithms, models, and frameworks that integrate generative models with information fusion techniques. Neural and Symbolic Fusion by GenAI: Methods and fusion mechanisms for representation and reasoning of neural and symbolic technologies based on GenAI. Applications of GenAI in Multisource Data Fusion: Case studies and applications in fields such as healthcare, education, cybersecurity, autonomous systems, environmental monitoring, etc. Multimodal GenAI: Methods for representation of multimodal data, such visual, text, graph, audio, etc. Synthetic Data Generation and Utilization: Methods for creating and using synthetic data to enhance information fusion processes. Detection of GenAI content is also welcomed. Performance Evaluation
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