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Related Questions
- What are some of the common metrics used to evaluate the performance of LLMs on OOV words?
- How do LLMs handle OOV words during the training process, and what are the implications for their performance?
- Can you explain the concept of 'cold-start' problem in the context of LLMs and OOV words?
- What are some strategies researchers use to alleviate the OOV problem in LLMs, and how effective are they?
- How do OOV words impact the interpretability of LLMs, and what are the implications for their deployment in real-world applications?
- Can you discuss the relationship between the size of the training dataset and the OOV problem in LLMs?
- What are some potential solutions to the OOV problem in LLMs, such as using subword models or character-level models?
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