Empirical study across 10 tasks showing bias inheritance from LLM-augmented data harms related downstream performance, with three misalignment factors and three mitigation strategies identified.
To ensure gender balance, we sample 600 examples for each profession, with an equal split between male and female data
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Understanding and Mitigating Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks
Empirical study across 10 tasks showing bias inheritance from LLM-augmented data harms related downstream performance, with three misalignment factors and three mitigation strategies identified.