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Related Questions
- Can low-frequency words lead to interpretability issues in BERT and RoBERTa due to their limited training data?
- How do BERT and RoBERTa handle out-of-vocabulary words, including low-frequency words, in their predictions?
- What are the potential consequences of low-frequency words on the accuracy and reliability of BERT and RoBERTa's predictions?
- Can fine-tuning BERT and RoBERTa on domain-specific datasets help improve their performance on low-frequency words?
- Are there any techniques or methods that can be used to mitigate the impact of low-frequency words on BERT and RoBERTa's interpretability?
- How do the results of BERT and RoBERTa's predictions change when low-frequency words are replaced with more common synonyms or paraphrases?
- Can the attention mechanisms in BERT and RoBERTa help explain how low-frequency words influence their predictions?
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