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Related Questions
- What are the common strategies for handling out-of-vocabulary words in LLMs?
- How do LLMs adapt to unseen words during training and deployment?
- What is the impact of OOV words on the accuracy of natural language processing tasks?
- Can LLMs learn to generate pseudo-out-of-vocabulary words during training?
- How do LLMs handle named entities, idioms, and colloquial expressions that are not in their training data?
- What techniques can be used to improve the robustness of LLMs to OOV words?
- How does the size and quality of the training dataset affect an LLM's ability to handle OOV words?
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