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Related Questions
- Can domain-specific knowledge bias models towards underperforming in out-of-domain tasks?
- How can overspecialization in a domain limit the applicability of a model in related tasks?
- Do language models generalize better to different domains if they are initially trained on a broad range of topics?
- What are the implications of fine-tuning a model on a specific domain for its generalizability to other areas?
- Can leveraging domain knowledge improve the model's performance in downstream tasks?
- How can the structure of the dataset influence the model's generalizability across domains?
- Do models trained on a large corpus of domain-specific texts exhibit better performance in tasks related to that domain, but worse performance in unrelated tasks?
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