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Once a Response, Always a Response: Detecting LLM-generated Text via Latent Prompt Restoration
Large language models (LLMs) can generate fluent and convincing text at scale, creating growing risks for misinformation dissemination, educational misuse, and platform governance. These concerns make robust detection of machine-generated text increasingly necessary. Recent zero-shot detectors mainl
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