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Related Questions
- How does the masked language modeling objective in BERT affect its ability to generalize to out-of-vocabulary words?
- What role does the next sentence prediction objective play in improving the generalizability of RoBERTa to out-of-vocabulary words?
- Can you explain how the pre-training objectives in BERT and RoBERTa help to mitigate the issue of out-of-vocabulary words?
- How do the pre-training objectives in BERT and RoBERTa influence the model's ability to learn contextual representations for out-of-vocabulary words?
- What are the implications of using different pre-training objectives on the generalizability of BERT and RoBERTa to out-of-vocabulary words?
- Can you discuss the trade-offs between the masked language modeling and next sentence prediction objectives in terms of their impact on out-of-vocabulary word generalizability?
- How do the pre-training objectives in BERT and RoBERTa affect the model's ability to adapt to new vocabulary and unseen words during fine-tuning?
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