SV-Detect: AI-generated Text Detection with Steering Vectors
Quick summary
arXiv:2606.07313v2 Announce Type: replace-cross Abstract: 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
Key takeaways
- arXiv:2606.07313v2 Announce Type: replace-cross Abstract: 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.
Why it matters
“SV-Detect: AI-generated Text Detection with Steering Vectors” should be evaluated beyond branding and benchmark scores. Its practical importance will emerge in task accuracy, latency, unit cost, safety and integration with real workflows.
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