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Related Questions
- How do automated metrics such as perplexity, BLEU, and ROUGE affect the evaluation of text generation models?
- What are the limitations of relying on automated metrics in evaluating the quality and coherence of generated text?
- Can automated metrics capture the nuances of human language and context in text generation?
- How do overreliance on automated metrics impact the development of text generation models, particularly in terms of their ability to generalize to real-world scenarios?
- What are some alternative evaluation methods that can provide a more comprehensive assessment of text generation models?
- Can automated metrics be used to identify biases in text generation models, and if so, how?
- How do automated metrics influence the optimization of text generation models, and are there potential trade-offs between optimizing for metrics and optimizing for human-centered goals?
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