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Related Questions
- How do out-of-vocabulary words affect the accuracy of text classification models?
- Can out-of-vocabulary words lead to significant drops in performance for large language models?
- What strategies can be employed to mitigate the impact of out-of-vocabulary words on text classification?
- How do different types of out-of-vocabulary words (e.g., domain-specific, colloquialisms) affect model performance?
- Can pre-training on a large corpus of text help large language models better handle out-of-vocabulary words?
- What is the relationship between the frequency of out-of-vocabulary words and model performance in text classification tasks?
- Are there any techniques for adaptively updating large language models to handle new, unseen out-of-vocabulary words?
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