All Stories

  1. How much Medical Knowledge do LLMs have? An Evaluation of Medical Knowledge Coverage for LLMs
  2. Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models
  3. Improving Biomedical Entity Linking with Retrieval-Enhanced Learning
  4. Emerging drug interaction prediction enabled by a flow-based graph neural network with biomedical network
  5. PRASEMap
  6. Unsupervised Knowledge Graph Alignment by Probabilistic Reasoning and Semantic Embedding
  7. PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction
  8. OntoEA: Ontology-guided Entity Alignment via Joint Knowledge Graph Embedding
  9. Improving Short Text Classification Using Context-Sensitive Representations and Content-Aware Extended Topic Knowledge
  10. Understanding Patient Query with Weak Supervision from Doctor Response
  11. Forecasting the long-term trend of COVID-19 epidemic using a dynamic model
  12. Multimodal Deep Learning Framework for Mental Disorder Recognition
  13. An Industry Evaluation of Embedding-based Entity Alignment