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Related Questions
- How does instance-based adaptation affect the ability of pre-trained language models to generalize to new tasks and domains?
- Can you explain the trade-offs between model-based and instance-based adaptation strategies in terms of generalizability and computational resources?
- How does the choice of adaptation strategy impact the transfer of knowledge from pre-trained language models to downstream tasks?
- What are the key factors that influence the generalizability of pre-trained language models after adaptation, and how do they relate to the adaptation strategy?
- How does model-based adaptation enable pre-trained language models to generalize to unseen data distributions, and what are the implications for downstream task performance?
- Can you discuss the role of meta-learning in adaptation strategies and its impact on the generalizability of pre-trained language models?
- How does the choice of adaptation strategy affect the ability of pre-trained language models to handle out-of-distribution (OOD) data and maintain their performance on in-distribution data?
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