Papers with BiasUnlearn
Mitigating Biases in Language Models via Bias Unlearning (2025.emnlp-main)
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| Challenge: | Recent debiasing approaches target different demographic groups, harming fairness and discrimination. |
| Approach: | They propose a model debiasing framework which targets stereotypes by unlearning stereotype forgetting and anti-stereotype retention. |
| Outcome: | The proposed framework outperforms existing methods in mitigating bias while retaining language modeling capabilities. |