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Related Questions
- Can perplexity be misleading when evaluating text generation models in certain situations?
- How does perplexity relate to human evaluation of generated text?
- What are some cases where perplexity might not accurately reflect the quality of generated text?
- Can perplexity be affected by the quality of the training data?
- How does perplexity compare to other evaluation metrics for text generation models?
- What are some alternative metrics that can provide a more comprehensive picture of text generation quality?
- Can perplexity be used in conjunction with other metrics to get a more accurate evaluation of text generation models?
- How does perplexity relate to the concept of fluency in text generation?
- Can perplexity be used to evaluate the coherence of generated text?
- What are some potential downsides of relying solely on perplexity for evaluating text generation models?
- Can perplexity be used to compare the performance of different text generation models?
- How does perplexity relate to the concept of relevance in text generation?
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