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Related Questions
- What are the advantages and limitations of using human evaluators' scores in conjunction with fluency metrics for evaluating a model's domain knowledge?
- How can a weighted average or other fusion methods be used to combine human evaluators' scores and fluency metrics?
- What types of domain knowledge are best evaluated using human evaluators' scores and fluency metrics, and what types are better suited for other evaluation methods?
- Can human evaluators' scores and fluency metrics be used to evaluate the model's ability to generalize to new, unseen data?
- How can the inter-rater reliability of human evaluators' scores be assessed and improved?
- What are the potential biases in human evaluators' scores and fluency metrics, and how can they be mitigated?
- Can human evaluators' scores and fluency metrics be used to evaluate the model's ability to handle out-of-vocabulary words or rare events?
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