Dong-Suk Oh

Computer Science

1. Language Modeling 100%
2. Pre-Trained Language Models 97%
3. Commonsense Reasoning 79%
4. Large Language Model 61%
5. Disambiguation 48%
6. Bidirectional Encoder Representations From Transformers 41%
7. Response Selection 36%
8. Semantic Representation 32%
9. Conversational Agent 29%
10. Natural Language Processing 28%
11. Graph Convolutional Network 26%
12. Experimental Result 25%
13. Graph Information 24%
14. Quality Assessment 24%
15. Contrastive Learning 24%
16. Quality Control 24%
17. Graph Representation 23%
18. Processing Task 21%
19. Semantic Search 20%
20. Knowledge Graph 20%
21. Synthetic Data 18%
22. Reasoning Process 16%
23. Artificial Intelligence 15%
24. Linguistics 13%
25. Dialog System 13%
26. Word Embedding 12%
27. Information Loss 12%
28. Spectral Domain 12%
29. Semantic Processing 12%
30. Confirmation Bias 12%
31. Trustworthy AI 12%
32. Baseline Method 12%
33. Inference Model 12%
34. Prompt Engineering 12%
35. Fake News Detection 12%
36. Continual Learning 12%
37. Selection Model 12%
38. Word Embedding 12%
39. Superior Performance 10%
40. Quantitative Evaluation 10%
41. Baseline Model 10%
42. Lower Performance 10%
43. Annotation 10%
44. Semantic Relationship 10%
45. Retrieval-Augmented Generation 8%
46. Adversarial Machine Learning 8%
47. Common Sense Knowledge 8%
48. Similarity Search 8%
49. Detection Method 8%
50. Common Sense 6%