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Related Questions
- What is the effect of noise injection on the performance of language models in terms of robustness and generalizability?
- How does noise injection help to improve the ability of language models to handle out-of-vocabulary words?
- Can you explain the concept of data augmentation in the context of language models and its relation to noise injection?
- What are the different types of noise that can be injected into language models for data augmentation?
- How does noise injection affect the interpretability of language models, and is it a concern for model explainability?
- Can noise injection be used to improve the transferability of language models across different domains or tasks?
- What is the relationship between noise injection and other data augmentation techniques, such as back-translation or paraphrasing?
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