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Related Questions
- How does Perplexity measure the quality of LLM-generated summaries?
- What are the key factors that affect Perplexity scores in summary evaluation?
- Can Perplexity be used to compare the quality of summaries generated by different LLMs?
- How does Perplexity relate to other metrics used to evaluate LLM-generated summaries, such as ROUGE and BLEU?
- What are the limitations of using Perplexity as a sole metric for evaluating LLM-generated summaries?
- Can Perplexity be used to evaluate the quality of summaries in specific domains or industries?
- How does Perplexity handle out-of-vocabulary words or words with low frequency in the training data?
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