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Related Questions
- What are the most commonly used evaluation metrics for text generation models, and how do they impact model performance?
- How do metrics such as perplexity, BLEU score, and ROUGE score differ in their evaluation of text generation models?
- Can you explain the impact of evaluation metrics on the training process of text generation models, and how they influence model optimization?
- How do evaluation metrics affect the testing process of text generation models, and what are the implications for model deployment?
- What are the trade-offs between using different evaluation metrics for text generation models, and how do they impact model performance and interpretability?
- Can you discuss the role of human evaluation in assessing text generation models, and how it compares to automated evaluation metrics?
- How do evaluation metrics impact the development of more advanced text generation models, such as those using transformer architectures or multimodal inputs?
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