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Related Questions
- What are some common types of adversarial attacks used to evaluate language model robustness?
- How do techniques like data augmentation and noise injection help improve language model robustness?
- What is the difference between white-box and black-box adversarial attacks, and how are they used to evaluate language model robustness?
- Can you explain the concept of adversarial examples and how they are used to test language model robustness?
- What are some techniques used to detect and mitigate adversarial attacks on language models?
- How do techniques like transfer learning and domain adaptation help improve language model robustness in real-world scenarios?
- What is the role of human evaluation in assessing language model robustness, and how is it used in conjunction with automated evaluation methods?
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