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Related Questions
- What are the benefits and limitations of human evaluation in assessing text generation models?
- How does human evaluation compare to automated evaluation metrics in terms of accuracy and reliability?
- What are some common methods used in human evaluation for text generation models?
- What are the potential biases in human evaluation, and how can they be mitigated?
- How does human evaluation take into account the nuances of human language and context?
- Can human evaluation be used in conjunction with automated evaluation metrics for a more comprehensive assessment?
- What are some challenges in scaling human evaluation for large datasets and complex models?
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