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Related Questions
- Can extrinsic evaluation metrics like ROUGE or BLEU be biased towards fluency, potentially leading to inaccurate assessments of a model's performance?
- How do fluency biases in extrinsic evaluation metrics affect the evaluation of machine translation or text summarization models?
- Can the use of extrinsic evaluation metrics like ROUGE or BLEU lead to a situation where models are optimized for fluency rather than actual quality?
- In what ways can fluency biases in extrinsic evaluation metrics impact the development of more accurate and effective natural language processing models?
- Are there any alternative evaluation metrics that can help mitigate the influence of fluency biases in extrinsic evaluation?
- Can the impact of fluency biases on extrinsic evaluation metrics be mitigated by using a combination of evaluation metrics?
- How can the development of more robust extrinsic evaluation metrics help to reduce the influence of fluency biases in natural language processing models?
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