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Related Questions
- What are the potential limitations of relying solely on automatic metrics to evaluate a language model's performance?
- How can the focus on fluency and grammaticality metrics lead to neglect of other critical aspects of a model's quality?
- What are some alternative evaluation methods that can provide a more comprehensive understanding of a language model's overall quality?
- Can the overreliance on automatic metrics hinder the development of more robust and reliable language models?
- How can the lack of understanding of a model's overall quality impact its deployment in real-world applications?
- What are the potential consequences of prioritizing fluency and grammaticality over other important metrics, such as coherence and relevance?
- How can researchers and developers strike a balance between using automatic metrics and conducting more in-depth evaluations of a language model's quality?
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