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Related Questions
- What are some common techniques to handle OOV words in large language models?
- How do OOV words impact the accuracy of predictions in a language model?
- Can OOV words lead to data poisoning or bias in training data?
- What is the relationship between OOV words and downstream tasks like text classification and sentiment analysis?
- How can OOV words be mitigated with techniques like subword representations and back-translation?
- What role do OOV words play in model evaluation metrics such as perplexity and AUC-ROC?
- Are there specific domains or languages where OOV words have a larger impact on model performance?
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