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Related Questions
- What are the key differences between task-specific and multi-task pre-training in language models?
- How do language models pre-trained on multiple tasks develop a more robust understanding of language?
- What are the benefits of pre-training language models on a diverse range of tasks?
- Can you explain the concept of 'domain adaptation' in the context of multi-task pre-training?
- How do language models pre-trained on multiple tasks handle out-of-domain data?
- What is the role of 'task distribution' in multi-task pre-training and how does it impact generalization?
- Can you provide examples of language models pre-trained on multiple tasks that have demonstrated improved generalization abilities?
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