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Found 3 papers, 2 papers with code
Sharing Parameter by Conjugation for Knowledge Graph Embeddings in Complex Space
A Knowledge Graph (KG) is the directed graphical representation of entities and relations in the real world.
Llama-VITS: Enhancing TTS Synthesis with Semantic Awareness
Recent advancements in Natural Language Processing (NLP) have seen Large-scale Language Models (LLMs) excel at producing high-quality text for various purposes.
Model-based Subsampling for Knowledge Graph Completion
Subsampling is effective in Knowledge Graph Embedding (KGE) for reducing overfitting caused by the sparsity in Knowledge Graph (KG) datasets.
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