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Peter Kirby

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#machine learning Preprint Open access Sep 2026

Contrastive Learning for Authorship Verification

A ModernBERT Bi-Encoder model is developed that achieves 98.4% accuracy on the PAN21 authorship verification task and identifies loss function, batch size, training duration, pre-trained model, input context length, and random text span data augmentation as important factors of model performance.

Peter Kirby · 0 citations

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