Papers by Florentina Hristea

1 papers
Model Calibration for Emotion Detection (2025.findings-emnlp)

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Challenge: a MixUp method is used to calibrate emotion detection models based on knowledge distillation and the MixUp data augmentation technique.
Approach: They propose a method that uses knowledge distillation and the MixUp data augmentation technique to enhance the trustworthiness of emotion detection models.
Outcome: The proposed method improves the accuracy of the teacher models and the student models.

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