D2C-Routing: Dimension-to-Composition Evidence Routing for Mixed-Origin AI-Generated Text Detection
Read the original on arXiv Computation and Language →The paper introduces D2C-Routing, a method for detecting mixed-origin AI-generated text by separately routing content-side and expression-side evidence to supervised dimension heads before combining them with a gated composition layer. On the MixD2C benchmark, the system achieves a four-way average true positive rate of 0.8603 at 1% false positive rate, outperforming a baseline by 6.5 points. Ablation studies confirm the effectiveness of the routing design, and error analysis highlights the difficulty of distinguishing AI-content with human expression from fully AI-generated text.
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