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Related Questions
- How do data annotation biases impact model performance in a specific domain?
- What strategies can be employed to mitigate data annotation biases in fine-tuning a model?
- Can you explain the concept of annotations reflecting the biases of the authors and its implications on model fairness?
- What are some techniques to detect and remove biases from the annotation data?
- How does the type of annotation (e.g. categorical, numerical) affect the presence of biases in the data?
- Can you discuss the importance of diverse and representative annotation data in reducing biases?
- What are some best practices for ensuring annotation data is free from biases and represents the target domain accurately?
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