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Related Questions
- What are some examples of context-dependent information that models may struggle to generate?
- How do context-independent metrics, such as BLEU or ROUGE, fail to capture nuances in model performance?
- Can you explain why context-dependent metrics, such as coherence or consistency scores, are more suitable for evaluating model performance in tasks that require understanding and generation of context-dependent information?
- What are some common pitfalls of using context-independent metrics in model evaluation, and how can they be avoided?
- How do contextual models, such as BERT or transformer-based models, address the limitations of context-independent metrics in model evaluation?
- Can you provide examples of context-dependent metrics that can be used to evaluate model performance in tasks such as conversation generation or question-answering?
- What are some future directions for research on evaluating model performance in tasks that require understanding and generation of context-dependent information?
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