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Related Questions
- What are some common biases present in word embeddings and how can they be identified?
- How can adversarial training be used to debias word embeddings?
- What is the role of data augmentation in debiasing pre-trained language models?
- Can you explain the concept of analogical reasoning and how it can be used to debias word embeddings?
- How do you measure the impact of debiasing techniques on the performance of pre-trained language models?
- What are some challenges in debiasing pre-trained language models and how can they be addressed?
- Can you discuss the trade-offs between debiasing and preserving the semantic meaning of words in language models?
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