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Related Questions
- How do you think incorporating cognitive biases into evaluation metrics can improve their accuracy?
- What are some potential limitations of relying solely on automated metrics like ROUGE or BLEU?
- Can you discuss the role of human evaluators in text generation evaluation and how to incorporate their feedback effectively?
- How can we develop more nuanced evaluation metrics that account for subtleties in human communication?
- What are some alternative metrics for evaluating text generation that are based on human judgment or perceptual ratings?
- How can we ensure that evaluation metrics accurately reflect the complexity and nuance of human language?
- What are some potential applications of using human-centered evaluation metrics in real-world text generation tasks?
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