3 accepted papers
The prompt recognition and timely intervention for depression are vital for attaining the most favorable therapeutic results. Notwithstanding its widespread occurrence, depression continues to be poorly understood within both clinical and research frameworks. Recent progress in deep learning methodo…
Knowledge distillation for large language models often uses Chain-of-Thought (CoT) and answer pairs, but existing methods struggle with appropriate supervision signals. Uniform constraints (e.g., cross-entropy) on CoT can enforce literal, verbose reasoning and suppress expressive diversity, while so
Multi-modal knowledge graph completion (MMKGC) enhances the structural and semantic richness of knowledge graphs by integrating diverse information across modalities. However, existing methods often either overlook the diversity within a single modality or fail to ensure effective cross-modality ali…