Jiaoyan Chen

Computer Science

1. Large Language Model 100%
2. Ontology 90%
3. Pre-Trained Language Models 52%
4. Language Modeling 39%
5. Few-Shot Learning 39%
6. Knowledge Graph Embedding 37%
7. Experimental Result 37%
8. Data Discovery 30%
9. Explainable Artificial Intelligence 30%
10. Potential Solution 30%
11. Living Organism 30%
12. Scientific Concept 30%
13. Use Case 30%
14. Related Discipline 30%
15. Scientific Discovery 30%
16. Technology Driven 30%
17. Scientific Data 30%
18. Open Research 30%
19. Research Question 30%
20. Research Effort 30%
21. Artificial Intelligence Applications 30%
22. Art Performance 30%
23. Modular Architecture 30%
24. Description Logics 30%
25. Embedding Method 30%
26. Ontology Engineering 30%
27. World Wide Web Search 30%
28. Generative Model 30%
29. Data Exploration 30%
30. ChatGPT 30%
31. Adversarial Machine Learning 30%
32. Table Semantics 30%
33. Matching Approach 30%
34. Primary Subject 30%
35. Coder 30%
36. Detection Method 30%
37. Matching Strategy 30%
38. Closed World Assumption 30%
39. Contextual Information 30%
40. Task Completion 22%
41. Subgraphs 22%
42. Link Prediction 18%
43. Information Retrieval 17%
44. Machine Learning 15%
45. Annotation 15%
46. Bidirectional Encoder Representations From Transformers 15%
47. Prediction Time 15%
48. Evaluation Metric 15%
49. Open World Assumption 15%
50. Knowledge Representation and Reasoning 9%