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Agents Can Use Base Models to Evade AI Detection

We show that coding agents equipped with a base language model can successfully assemble responses from its samples to evade detection. Base models have been shown to evade commercial detectors, however, prior "humanization" techniques rely on using these models to paraphrase AI outputs over…

By Bhuwan Dhingra, Danish PruthiarXiv - cs.CL (NLP)

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Originally published by arXiv - cs.CL (NLP) on Sep 30, 2026.

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