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Related Questions
- How do biased datasets contribute to biased language models?
- Can you explain the concept of annotation artifacts and their impact on model bias?
- In what ways do annotators' own biases influence the data used to train language models?
- How does the lack of diversity in annotation teams affect the quality and fairness of pre-trained models?
- What role do annotation guidelines play in perpetuating or mitigating bias in language models?
- Can you discuss the challenges of detecting and correcting bias in annotated data?
- How do pre-trained language models inherit and amplify biases present in the data used for annotation and training?
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