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Related Questions
- What are some common techniques used to handle out-of-vocabulary (OOV) words in large language models?
- How do researchers typically address the issue of unknown or unseen words in LLMs during training?
- What are the potential consequences of ignoring or not addressing OOV words in LLMs?
- Can you explain the concept of subword modeling and its role in handling OOV words?
- How do different types of LLMs, such as transformer-based models, handle unknown or unseen words?
- What are some strategies for augmenting the training data to include more OOV words?
- How do researchers evaluate the performance of LLMs on OOV words, and what metrics are commonly used?
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