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Related Questions
- What are some common evaluation metrics used to assess the generalizability of text generation models?
- How can we design experiments to test the ability of text generation models to adapt to new domains and contexts?
- What are some techniques for fine-tuning text generation models to improve their generalizability in unseen contexts?
- Can you explain the concept of 'domain shift' in the context of text generation models and how it affects generalizability?
- How can we use transfer learning to leverage knowledge from one domain to improve generalizability in another domain?
- What role does data augmentation play in improving the generalizability of text generation models?
- Can you discuss the trade-offs between model complexity and generalizability in text generation models?
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