Papers with mitigation measures
Bias Analysis and Mitigation through Protected Attribute Detection and Regard Classification (2025.findings-emnlp)
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| Challenge: | Large language models acquire general knowledge from pretraining but pretraining data contain undesirable social biases which can be perpetuated or even amplified by LLMs. |
| Approach: | They propose an efficient yet effective annotation pipeline to investigate social biases in pretraining data. |
| Outcome: | The proposed pipeline investigates social biases in the pretraining corpus using protected attribute detection and regard classification. |