Can AI-Generated Text be Reliably Detected?

arXiv:2303.11156v3 Announce Type: replace-cross
Abstract: The unregulated use of LLMs can potentially lead to malicious consequences such as plagiarism, generating fake news, spamming, etc. Therefore, reliable detection of AI-generated text can be critical to ensure the responsible use of LLMs. Recent works attempt to tackle this problem either using certain model signatures present in the generated text outputs or by applying watermarking techniques that imprint specific patterns onto them. In this paper, we show that these detectors are not reliable …

ai-generated text arxiv cs.ai cs.cl cs.lg generated text type