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Related Questions
- What are the key differences between accuracy and fluency in evaluating language models?
- How do different evaluation metrics, such as perplexity and ROUGE, compare to accuracy and fluency?
- What are the trade-offs between using a single evaluation metric versus a combination of metrics?
- Can you explain the concept of 'hallucination' in language models and how it relates to evaluation metrics?
- How do human evaluators' ratings of language model outputs influence the choice of evaluation metric?
- What are the implications of using evaluation metrics that prioritize one aspect of language generation over others?
- Can you discuss the role of contextual understanding in evaluating language models and how it relates to evaluation metrics?
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