Fine-tuned AI text detectors amplify a pretrained typicality axis instead of learning an AI-human boundary, with raw centroid projections achieving 86-106% of fine-tuned AUROC and a 24-example frozen probe matching full training.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) , pages=
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Amplifying, Not Learning: Fine-Tuned AI Text Detectors Amplify a Pretrained Direction
Fine-tuned AI text detectors amplify a pretrained typicality axis instead of learning an AI-human boundary, with raw centroid projections achieving 86-106% of fine-tuned AUROC and a 24-example frozen probe matching full training.