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Related Questions
- What methods do large language models employ to handle unknown or infrequent words during text classification?
- Can large language models learn to adapt to new vocabulary items over time?
- How do large language models handle out-of-context or domain-specific words that may not be present in their training data?
- What techniques can be used to improve a large language model's robustness to out-of-vocabulary words?
- How do large language models balance the trade-off between handling out-of-vocabulary words and maintaining overall model performance?
- Can large language models learn to generalize to out-of-vocabulary words, even if they have been seen before but in different contexts?
- What are some common errors that large language models can make when encountering out-of-vocabulary words, and how can these be addressed?
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