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Related Questions
- How do encoder-only transformer models handle out-of-vocabulary (OOV) words compared to decoder-only models?
- What strategies do encoder-only transformer models employ to handle OOV words when the input sequence is unknown?
- How do decoder-only transformer models adapt to OOV words in the input sequence, and what are the implications for language modeling?
- Can you explain the differences in OOV handling between encoder-only and decoder-only transformer models in the context of machine translation?
- How do encoder-only transformer models handle OOV words when the input sequence is a sentence, and what are the trade-offs?
- What are the implications of OOV handling in encoder-only and decoder-only transformer models for downstream tasks such as text classification?
- Can you discuss the impact of OOV handling on the performance of encoder-only and decoder-only transformer models in low-resource languages?
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