Agentic reproduction of an NLP study recovers original findings and demonstrates that GPT-5.5 and Claude Opus can reduce their AI-detection probability by shrinking detector margins through 20 feedback iterations.
In: Pro- ceedings of the 24th International Conference on Pattern Recognition (ICPR)
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Beating the Style Detector: Three Hours of Agentic Research on the AI-Text Arms Race
Agentic reproduction of an NLP study recovers original findings and demonstrates that GPT-5.5 and Claude Opus can reduce their AI-detection probability by shrinking detector margins through 20 feedback iterations.