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Related Questions
- How do low-resource domains affect the generalizability of pre-trained language models?
- What are the implications of limited training data on the performance of language models in low-resource languages?
- Can fine-tuning pre-trained models on small datasets compensate for the lack of training data in low-resource domains?
- How do language models handle out-of-vocabulary words in low-resource languages?
- What are the challenges of adapting pre-trained language models to new domains or languages with limited resources?
- Can transfer learning from high-resource domains or languages improve the performance of language models in low-resource settings?
- What are the potential biases in pre-trained language models that may be exacerbated in low-resource domains or languages?
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