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Related Questions
- How do pre-trained language models inherit biases from the training data?
- Can fine-tuning on a new task in the same domain perpetuate biases?
- What are some strategies for mitigating bias in pre-trained models during transfer learning?
- Can the use of data augmentations or domain adaptation methods reduce bias transfer?
- How do linguistic or cultural nuances affect model bias in different domains or tasks?
- Are there any techniques or frameworks specifically designed to handle biased pre-trained models during transfer learning?
- Can incorporating diverse, balanced, or adversarially sampled datasets during transfer learning help address bias?
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