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Related Questions
- What is the primary difference in the way BERT and RoBERTa handle out-of-vocabulary words?
- How do the pre-training objectives of BERT and RoBERTa impact their ability to capture common sense knowledge?
- Can you explain the role of masked language modeling in BERT and its implications for common sense understanding?
- How do the RoBERTa model's use of a larger dataset and different pre-training objectives affect its common sense abilities compared to BERT?
- What is the significance of the 'sentence-ordering task' in RoBERTa's pre-training, and how does it relate to common sense knowledge?
- In what ways do the contextualized embeddings produced by BERT and RoBERTa differ in their representation of common sense concepts?
- How do the fine-tuning capabilities of BERT and RoBERTa impact their ability to adapt to tasks that require common sense reasoning?
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