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Related Questions
- What are some common pitfalls in designing evaluation metrics for language models?
- How can human evaluators be trained to effectively assess model responses in a way that accounts for vague prompts?
- What are some strategies for identifying and mitigating the effects of ambiguous or unclear prompts on model performance?
- Can you explain the concept of 'evaluation drift' and how it relates to the impact of vague prompts on model evaluation?
- What role can active learning play in improving the evaluation of model responses to vague prompts?
- How can the use of human-in-the-loop evaluation methods help improve the robustness of model evaluation to vague prompts?
- What are some best practices for developing evaluation protocols that are robust to the nuances of human language and vague prompts?
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