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Related Questions
- What are some common metrics used to evaluate a language model's understanding of context, such as ROUGE and BLEU scores?
- How do models with contextual understanding perform in tasks like question answering, summarization, and machine translation?
- Can you explain the concept of coherence and how it is evaluated in the context of conversational AI?
- What are some other evaluation metrics that can assess a model's ability to reason and understand complex contexts, such as entailment and contradiction detection?
- How do contextual evaluation metrics like Coreference Resolution and Entity Disambiguation relate to a model's overall understanding of context?
- Can you provide examples of how contextual relationships are evaluated in real-world applications, such as in dialogue systems and chatbots?
- What are some challenges and limitations associated with evaluating a model's contextual understanding, and how can they be addressed?
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