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Related Questions
- What is the impact of adding noise to the training data of language models on their robustness?
- How does noise affect the generalizability of language models to unseen data and tasks?
- Can you explain the concept of adversarial noise in language models and its relation to robustness?
- What are some common types of noise used to improve the robustness of language models, such as Gaussian noise or label noise?
- How does noise affect the performance of language models on tasks such as natural language inference or sentiment analysis?
- Can you discuss the trade-off between adding noise to the training data and the potential decrease in model performance on clean data?
- What are some techniques used to mitigate the negative effects of noise on language model performance, such as data augmentation or regularization?
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