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Related Questions
- How do coverage metrics impact the ability of text generation models to capture diverse perspectives and opinions?
- Can you elaborate on the trade-off between coverage and diversity in text generation models, and how it affects explainability?
- How do diversity metrics influence the design of text generation models to produce more coherent and consistent output?
- What role do coverage and diversity metrics play in evaluating the fairness and robustness of text generation models?
- How can the design of text generation models be optimized to balance coverage and diversity, and improve overall explainability?
- Can you discuss the challenges of incorporating coverage and diversity metrics into the training objectives of text generation models?
- How do coverage and diversity metrics impact the interpretability of text generation models, and what implications does this have for model evaluation and deployment?
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