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Related Questions
- What are the key factors that contribute to overfitting in text generation models?
- How does relying heavily on fluency metrics, such as perplexity or ROUGE scores, lead to overfitting?
- Can you provide examples of how overfitting occurs in text generation models that prioritize fluency metrics?
- What are some strategies for mitigating overfitting in text generation models that focus on fluency metrics?
- How does the choice of objective function, such as maximization of log likelihood or minimization of perplexity, impact the risk of overfitting?
- What role do language models' capacity, dataset size, and diversity of training data play in overfitting when using fluency metrics?
- Can you discuss the interplay between overfitting and the quality of training data, and how poor data quality can exacerbate overfitting issues?
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