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Related Questions
- Can prioritizing fluency in NLP models lead to a decrease in accuracy?
- How might overemphasis on fluency impact the interpretability of NLP models?
- Can excessive focus on fluency hinder the development of more robust and generalizable models?
- Are there potential biases that can arise from prioritizing fluency in NLP models?
- How might the prioritization of fluency affect the ability of NLP models to handle out-of-distribution data?
- Can prioritizing fluency lead to a lack of transparency in NLP model decision-making processes?
- How might the trade-off between fluency and other desirable traits, such as interpretability or robustness, impact the overall performance of NLP models?
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