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Related Questions
- What are the advantages of using back-translation and paraphrasing in conjunction with other data augmentation techniques to improve language model performance?
- How does combining back-translation and paraphrasing with other data augmentation techniques enhance the robustness and generalizability of language models?
- Can you provide examples of other data augmentation techniques that can be combined with back-translation and paraphrasing to improve language model performance?
- What are the potential challenges and limitations of combining back-translation and paraphrasing with other data augmentation techniques in language models?
- How can the benefits of combining back-translation and paraphrasing with other data augmentation techniques be evaluated and measured in language models?
- Are there any specific domains or tasks where the benefits of combining back-translation and paraphrasing with other data augmentation techniques are more pronounced?
- Can you discuss the role of back-translation and paraphrasing in improving the interpretability and explainability of language models when combined with other data augmentation techniques?
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