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Related Questions
- What are some common pitfalls human evaluators should avoid when assessing the fluency of AI-generated text?
- How can human evaluators ensure they are not biased towards or against certain language styles or dialects when evaluating AI-generated text?
- What are some key factors human evaluators should consider when evaluating the naturalness of AI-generated text?
- How can human evaluators effectively identify and distinguish between human-written and AI-generated text?
- What role should context play in human evaluators' assessments of AI-generated text fluency and naturalness?
- Are there any specific metrics or criteria that human evaluators should use when evaluating the fluency and naturalness of AI-generated text?
- How can human evaluators ensure that their evaluations of AI-generated text are consistent and reliable across different datasets and tasks?
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