Bias Mitigation in Audio-Enabled LLMs through Adversarial Training and Distillation Methods
This work focuses on the gender attribute and shows that models' perception of it can be unlearned using adversarial methods without a loss in performance on other benchmarked tasks.
Adnan Al Ali, Jindrich Libovický, Anne Lauscher
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