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Related Questions
- What is the concept of diversity in active learning for NLP, and how is it measured?
- How does diversity impact model performance in active learning for NLP, and what are the implications for model generalization?
- Can you explain the relationship between data quality and diversity in active learning for NLP, and how does it affect model performance on out-of-distribution data?
- In active learning for NLP, what are some strategies for encouraging diversity in the selected data points, and how do they impact model performance?
- What is the role of diversity in active learning for NLP in handling concept drift, and how does it improve model performance on out-of-distribution data?
- Can you discuss the trade-off between diversity and density in active learning for NLP, and how it impacts model performance on out-of-distribution data?
- How does diversity in active learning for NLP affect the model's ability to learn from transfer learning, and what are the implications for model performance on out-of-distribution data?
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