Mitigating Extrinsic Gender Bias for Bangla Classification Tasks

In three linesInvestigation of extrinsic gender bias in Bangla pretrained language models. Four manually annotated task-specific benchmark datasets constructed (sentiment analysis, toxicity detection, hate speech, sarcasm detection) with minimal-pair gender perturbations. RandSymKL debiasing strategy proposed, combining symmetric KL divergence and cross-entropy loss. Implementation and datasets publicly released.

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