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Related Questions
- How can active learning help identify the most uncertain samples in a dataset for human annotation?
- What is the role of user behavior in degrading the robustness of language models, and how can it be mitigated?
- Can you describe a scenario where active learning is used to reduce the impact of user behavior on language model robustness?
- How does active learning address the 'curse of dimensionality' in high-dimensional data, and its relation to user behavior?
- What are some strategies for sampling and selecting the most informative data points in active learning, especially in relation to user behavior?
- Can you explain how active learning can be used to reduce the noise in user-provided data, thereby improving language model robustness?
- How does active learning deal with the trade-off between exploration and exploitation, especially in the context of user behavior and language model robustness?
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