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Related Questions
- What are the fundamental architectural limitations of BERT and RoBERTa, and how do they affect their performance?
- How do the pre-training objectives and data used to train BERT and RoBERTa impact their downstream task performance?
- What are the known limitations of BERT and RoBERTa in handling long-range dependencies and out-of-vocabulary words?
- Can BERT and RoBERTa be used for tasks that require extensive reasoning and common sense knowledge, and if so, what are the limitations?
- How do BERT and RoBERTa handle ambiguity and uncertainty in natural language, and what are the potential limitations of their approaches?
- What are the computational costs and resource requirements of fine-tuning BERT and RoBERTa for different downstream tasks?
- How do BERT and RoBERTa compare to other popular LLMs, such as XLNet and ALBERT, in terms of their limitations and capabilities?
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