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Quantum and Translation Embedding for Knowledge Graph Completion
The insight of this work enlightens the notion of dense feature model design for KGC which is a new alternative to Deep Neural networks (DNN) in this task or even a better choice.
Similarity-Aware Multimodal Prompt Learning for Fake News Detection
First, we incorporate prompt learning into multimodal fake news detection.
ArcSin: Adaptive ranged cosine Similarity injected noise for Language-Driven Visual Tasks
We train models for these tasks in a zero-shot cross-modal transfer setting, a domain where the previous state-of-the-art method relied on the fixed scale noise injection, often compromising the semantic content of the original modality embedding.
Fake Artificial Intelligence Generated Contents (FAIGC): A Survey of Theories, Detection Methods, and Opportunities
However, these technologies have also led to the emergence of Fake Artificial Intelligence Generated Content (FAIGC), posing new challenges in distinguishing genuine information.
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