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Related Questions
- How do masked language modeling objectives impact the ability of a language model to generalize to unseen text?
- In what ways do next sentence prediction tasks contribute to a language model's capacity for generalization?
- Can you explain how the choice of pre-training objective affects the robustness of a language model's generalization to out-of-distribution data?
- How do language models pre-trained on a diverse range of tasks exhibit better generalization abilities compared to those pre-trained on a single task?
- What is the relationship between the size of the pre-training dataset and a language model's ability to generalize to new, unseen data?
- Can you discuss the role of task-specific objectives in improving a language model's generalization performance on specific domains or tasks?
- How do meta-learning and few-shot learning objectives influence a language model's ability to adapt to new tasks and generalize to unseen data?
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