Zhuoer Shen
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126
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ML×1AI×1
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2026
Detector-Evasive LLM Paraphrasing via Constrained Policy Optimization
The paper proposes Detector Evasion Policy Optimization (DEPO), a constrained reinforcement learning method that effectively evades AI text detectors while strictly maintaining the original text's semantics.
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