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Related Questions
- What are the key differences between active learning and human evaluation in improving model robustness?
- Can you explain how active learning can help identify and correct out-of-domain inputs?
- How does human evaluation contribute to detecting and mitigating adversarial attacks on models?
- What are some common challenges in implementing active learning and human evaluation for improving model robustness?
- Can you provide examples of successful applications of active learning and human evaluation in real-world scenarios?
- How do active learning and human evaluation compare in terms of efficiency and scalability?
- What are some future research directions for integrating active learning and human evaluation to improve model robustness?
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