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Related Questions
- What are the common metrics used to evaluate the accuracy of generated text?
- Can human evaluators use established evaluation frameworks to assess the relevance of AI-generated content?
- How do existing evaluation frameworks account for context-dependent nuances in generated text?
- What are some potential limitations of relying solely on human evaluators for assessing generated text accuracy?
- Can machine learning models be fine-tuned to improve their performance based on human evaluator feedback?
- How do evaluation frameworks handle the issue of bias in generated text?
- What role do human evaluators play in identifying and mitigating the effects of bias in generated text?
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