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Related Questions
- How do large language models adapt to new words not seen during training in text classification tasks?
- Can fine-tuning large language models improve their ability to recognize out-of-vocabulary words?
- What techniques can be used to enhance the performance of large language models on unseen words in text classification?
- How does the size of the training dataset impact the model's ability to handle out-of-vocabulary words?
- What are the potential limitations of fine-tuning large language models for out-of-vocabulary words?
- Can transfer learning be used to leverage pre-trained models for out-of-vocabulary word recognition?
- What are some common strategies for handling out-of-vocabulary words in text classification tasks?
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