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Related Questions
- What are the common techniques used to inject noise into language models for data augmentation?
- How does noise injection improve the robustness of language models to out-of-distribution data?
- What are the potential drawbacks of injecting noise into language models for data augmentation?
- Can you explain the concept of adversarial noise injection in language models?
- How does noise injection affect the performance of language models on specific tasks such as sentiment analysis or named entity recognition?
- What are the differences between perturbation-based and augmentation-based noise injection methods?
- Can you discuss the trade-offs between model robustness and accuracy when injecting noise into language models?
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