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Related Questions
- Can multi-task learning improve the performance of BERT and RoBERTa models on rare or unseen out-of-vocabulary words?
- How does multi-task learning affect the ability of BERT and RoBERTa models to generalize to unseen words?
- Do BERT and RoBERTa models learn more robust representations of words when trained with multiple tasks, including those involving out-of-vocabulary words?
- Can the pre-training objectives used in BERT and RoBERTa be modified to better handle out-of-vocabulary words through multi-task learning?
- How does the choice of pre-training objectives and tasks affect the generalizability of BERT and RoBERTa models to unseen out-of-vocabulary words?
- Can multi-task learning help mitigate the issue of out-of-vocabulary words in BERT and RoBERTa models, particularly in low-resource languages?
- What is the relationship between the number of tasks used in multi-task learning and the improvement in generalizability of BERT and RoBERTa models to unseen out-of-vocabulary words?
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