arXiv Computation and Language By Xin Chen, Fuwei Zhang, Yiqi Tong, Wei Guo, Yutian Xiao, Fuzhen Zhuang

D2C-Routing: Dimension-to-Composition Evidence Routing for Mixed-Origin AI-Generated Text Detection

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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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arXiv AI
Jun 16

StyleShield: Exposing the Fragility of AIGC Detectors through Continuous Controllable Style Transfer

arXiv:2605. 00924v2 Announce Type: replace-cross Abstract: AI-generated content (AIGC) detectors are increasingly deployed in high-stakes settings such as academic integrity screening, yet their reliability rests on a fundamental paradox: as language models are trained on human-written corpora, the statistical boundary between AI and human writing will inevitably dissolve as models improve.

By Guantian Zheng