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Related Questions
- How does the size and diversity of the pre-training corpus affect the performance of BERT on sentiment analysis tasks?
- Can you explain how RoBERTa's pre-training data quality impacts its ability to generalize to out-of-distribution test data?
- How does the presence of biased or noisy data in the pre-training corpus affect the performance of BERT and RoBERTa on downstream tasks?
- What are some strategies for augmenting the pre-training corpus to improve the generalization of BERT and RoBERTa to new domains or tasks?
- How does the quality of the pre-training data impact the ability of BERT and RoBERTa to capture nuanced linguistic phenomena, such as sarcasm and idioms?
- Can you discuss the trade-offs between pre-training data quality and model size in terms of generalization performance on downstream tasks?
- How does the pre-training data quality affect the ability of BERT and RoBERTa to generalize to tasks that require common sense or world knowledge?
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