Papers with Stylistics-Aware Router

1 papers
MoSEs: Uncertainty-Aware AI-Generated Text Detection via Mixture of Stylistics Experts with Conditional Thresholds (2025.emnlp-main)

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Challenge: Existing methods neglect stylistic modeling and rely on static thresholds, which greatly limits the detection performance.
Approach: They propose a framework that enables stylistics-aware uncertainty quantification through conditional threshold estimation.
Outcome: The proposed framework achieves an average improvement 11.34% in detection performance compared to baselines.

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