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Related Questions
- How does dynamically changing the masking pattern in RoBERTa's pre-training objective affect its ability to learn contextual relationships between words?
- Can you explain the effect of varying masking patterns on RoBERTa's performance on tasks that require understanding of word order and syntax?
- How does the dynamic masking pattern impact RoBERTa's ability to capture nuances of language, such as idioms and figurative language?
- What are the implications of using a dynamic masking pattern on RoBERTa's performance on tasks that require common sense and world knowledge?
- How does the dynamic masking pattern influence RoBERTa's ability to learn from unlabeled data and generalize to new tasks?
- Can you compare the performance of RoBERTa with a static masking pattern to that with a dynamic masking pattern on a range of downstream tasks?
- What are the computational and memory requirements of implementing a dynamic masking pattern in RoBERTa, and how do they impact its performance?
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