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Related Questions
- What are the key differences between unsupervised and supervised domain adaptation methods for language models?
- How does the selection of a domain adaptation method affect the ability of a language model to generalize to new, unseen data?
- What are some common challenges in domain adaptation for language models and how do different methods address these challenges?
- Can you explain the concept of adversarial training in domain adaptation and its role in improving language model performance?
- How does the choice of domain adaptation method impact the interpretability of a language model's output?
- What are some metrics for evaluating the performance of a language model in a target domain after domain adaptation?
- How does the quality of the source domain data impact the effectiveness of domain adaptation for language models?
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