吴 之璟

Computer Science

1. Experimental Result 100%
2. Information Retrieval 91%
3. User Behavior 70%
4. Image Search 64%
5. External Knowledge 64%
6. Large Language Model 64%
7. User Satisfaction 53%
8. Relevance Judgment 53%
9. Multitask Learning 50%
10. Neural Network 42%
11. Reading Behavior 42%
12. Information Retrieval 42%
13. Search Engine 42%
14. Evaluation Metric 40%
15. retrieval model 36%
16. Bidirectional Encoder Representations From Transformers 35%
17. Context Information 32%
18. Sequential Model 32%
19. Search Behavior 32%
20. Information Gain 32%
21. Relevance Score 32%
22. Generation Model 32%
23. Annotation 31%
24. Domain Adaptation 28%
25. Log Analysis 25%
26. Query Reformulation 23%
27. Postprocessing 23%
28. Sparsity 21%
29. Loss Minimization 21%
30. Points of Interest 21%
31. False Negative 21%
32. Main Component 21%
33. Data Domain 21%
34. Learning Framework 21%
35. Machine Learning 21%
36. Behavior Model 21%
37. Linguistic Property 21%
38. Adversarial Machine Learning 21%
39. Related Question 21%
40. Reasoning Model 21%
41. Collaborative Learning 21%
42. Deep Learning 21%
43. Knowledge Base 21%
44. Interactive Visualization 21%
45. Graph Convolutional Network 21%
46. Representation Model 21%
47. Relational Graph 21%
48. Interaction Graph 21%
49. Level Representation 21%
50. Event Information 21%