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Related Questions
- How do biases in data representation affect the representation of marginalized groups in large language models?
- Can you explain the concept of 'representation gap' in LLMs and how it relates to underrepresented groups?
- In what ways do LLMs perpetuate existing social biases through their data representation?
- How do differences in data representation impact the performance of LLMs on tasks related to marginalized groups?
- What role do human evaluators play in identifying and correcting biases in LLMs' data representation?
- Can you describe the concept of 'representation parity' in LLMs and its importance for marginalized groups?
- How do data curation and selection processes influence the representation of marginalized groups in LLMs?
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