A Mahalanobis-distance contrast loss plus a Beta-distribution decision rule lets small-parameter models match or beat larger LLMs on sexism, sarcasm, and metaphor detection with one epoch of training.
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Class Distillation with Mahalanobis Contrast: An Efficient Training Paradigm for Pragmatic Language Understanding Tasks
A Mahalanobis-distance contrast loss plus a Beta-distribution decision rule lets small-parameter models match or beat larger LLMs on sexism, sarcasm, and metaphor detection with one epoch of training.