SV-Detect: AI-generated Text Detection with Steering Vectors
Detecting AI-generated text is especially difficult under distribution shift, such as transfer across domains, source models, and editing attacks. We propose an AI-generated text detector based on steering vectors extracted from the hidden representations of a frozen language model. At each layer, we construct a direction that separates human-written from AI-generated text, and represent each input by its layer-wise alignment with these directions. A lightweight classifier trained on these projection features yields the final detection score. Our method achieves strong performance both in-distribution and under distribution shift, including across domains, source models, and machine-editi...
| Authors | Mikhail Vishnyakov, Tatiana Gaintseva |
|---|---|
| Primary category | cs.CL |
| Published | 5 June 2026 |
| Last updated at source | 3 September 2026 |
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