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Steer-to-Detect: Probing Hidden Representations for Detection of LLM-Generated Texts
The rapid advancement of large language models (LLMs) has made machine-generated text increasingly difficult to distinguish from human-written text. While recent studies explore leveraging internal representations of language models to uncover deeper detection signals, these raw features often exhib
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