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Related Questions
- What are some common challenges in evaluating text generation models using MRR and NDCG metrics?
- How do MRR and NDCG measures handle out-of-distribution data when evaluating text generation models?
- What are some potential biases in MRR and NDCG metrics that can affect the evaluation of text generation models?
- Can MRR and NDCG metrics effectively capture the nuances of human judgment in evaluating text generation models?
- How do MRR and NDCG metrics handle context-dependent evaluation, where the relevance of a generated text depends on the specific context?
- What are some strategies for addressing the issue of overfitting to the training data when using MRR and NDCG metrics to evaluate text generation models?
- Are there any alternative evaluation metrics that can provide a more comprehensive picture of text generation model performance beyond MRR and NDCG?
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