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Related Questions
- What are OOV words in the context of LLMs, and why are they a challenge during testing?
- How do researchers handle OOV words during the testing phase of LLMs, and what techniques are used?
- What are the implications of OOV words on the performance of LLMs, and how do they affect the overall accuracy?
- Can you explain the differences between in-domain and out-of-domain OOV words, and how researchers handle each case?
- How do researchers evaluate the performance of LLMs on OOV words, and what metrics are used to measure their impact?
- What are some common strategies for handling OOV words, such as unknown word replacement or learning to predict them?
- What are the potential consequences of ignoring OOV words during testing, and how might it affect the reliability of LLMs in real-world applications?
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