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Related Questions
- How do large language models handle out-of-vocabulary (OOV) words in text classification?
- Can you explain the techniques used by large language models to handle unknown words in natural language processing tasks?
- What strategies do large language models employ to cope with OOV words and maintain model performance in text classification tasks?
- How do large language models use word embeddings to represent unknown words in text classification?
- Can large language models learn to classify text without knowing the word's meaning or context?
- What techniques can be used to improve large language models' handling of unknown words in text classification tasks?
- Can you describe the trade-off between coverage and accuracy in large language models when dealing with OOV words?
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