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Related Questions
- What are some common dataset biases that can lead to language models perpetuating stereotypes?
- Can you provide examples of how biased datasets can affect language model performance?
- How do datasets with imbalanced class distributions contribute to stereotype perpetuation in language models?
- What is the role of data curation in mitigating dataset biases that lead to stereotype perpetuation?
- Can you give an example of a dataset that has been identified as perpetuating stereotypes and how it was addressed?
- How do language models learn to associate certain words or phrases with stereotypes when the dataset is biased?
- What are some strategies for detecting and addressing dataset biases that can lead to stereotype perpetuation in language models?
- Can you explain how dataset biases can result in language models exhibiting confirmation bias and perpetuating stereotypes?
- How do language models handle out-of-distribution data and how can dataset biases affect their performance?
- Can you provide an example of a language model that has been designed to mitigate dataset biases and stereotype perpetuation?
- What is the relationship between dataset size and the perpetuation of stereotypes in language models?
- Can you discuss the challenges of addressing dataset biases in language models when the data is sourced from the internet or other public domains?
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