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Exploring Data Augmentation Strategies for Hate Speech Detection in Roman Urdu
In this paper, we explore different data augmentation techniques for the improvement of hate speech detection in Roman Urdu.
Would You Trust an AI Doctor? Building Reliable Medical Predictions with Kernel Dropout Uncertainty
The growing capabilities of AI raise questions about their trustworthiness in healthcare, particularly due to opaque decision-making and limited data availability.
BayesJudge: Bayesian Kernel Language Modelling with Confidence Uncertainty in Legal Judgment Prediction
Predicting legal judgments with reliable confidence is paramount for responsible legal AI applications.
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