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Related Questions
- What are some common biases that human evaluators may unintentionally introduce when evaluating model performance?
- How can human evaluators minimize the impact of personal opinions and preferences on their evaluations?
- What are some strategies for ensuring that human evaluators are consistently applying evaluation criteria?
- How can human evaluators effectively distinguish between model performance and task complexity?
- What are some common pitfalls of relying too heavily on human evaluation, and how can these be mitigated?
- How can human evaluators ensure that their evaluations are fair and unbiased, particularly in cases where there is a lack of clear evaluation criteria?
- What are some best practices for human evaluators to follow when evaluating model performance in a subjective task, such as considering multiple perspectives or using standardized evaluation protocols?
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