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09/01 10:38

What are the limitations of using perplexity as a performance metric?

What are the key limitations associated with using perplexity as a performance metric in natural language processing? Understanding these constraints is crucial for evaluating model effectiveness, as perplexity may not fully capture aspects such as contextual relevance, semantic coherence, or real-world applicability. What should researchers consider when interpreting this metric?
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