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cs.CL2026
Towards Fair ASR For Second Language Speakers Using Fairness Prompted Finetuning
Monorama Swain, Bubai Maji, Jagabandhu Mishra +3
In this work, we address the challenge of building fair English ASR systems for second-language speakers. Our analysis of widely used ASR models, Whisper and Seamless-M4T, reveals…
cs.CL2024
Unlabeled Debiasing in Downstream Tasks via Class-wise Low Variance Regularization
Shahed Masoudian, Markus Frohmann, Navid Rekabsaz +1
Language models frequently inherit societal biases from their training data. Numerous techniques have been proposed to mitigate these biases during both the pre-training and fine-t…