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Related Questions
- What are the primary factors contributing to the increased performance of RoBERTa on various tasks?
- How does the larger model size of RoBERTa impact its computational requirements and training time?
- Can smaller models like DistilBERT achieve comparable performance to RoBERTa on specific tasks?
- What are the implications of RoBERTa's improved performance on downstream tasks for real-world applications?
- How does the increased model size of RoBERTa affect its interpretability and explainability?
- What are the potential drawbacks of using RoBERTa in low-resource settings or on edge devices?
- Can RoBERTa's performance be improved further by incorporating additional pre-training tasks or data?
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