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A Survey on LLM-Generated Text Detection: Necessity, Methods, and Future Directions
April 22, 2024, 4:47 a.m. | Junchao Wu, Shu Yang, Runzhe Zhan, Yulin Yuan, Derek F. Wong, Lidia S. Chao
cs.CL updates on arXiv.org arxiv.org
Abstract: The powerful ability to understand, follow, and generate complex language emerging from large language models (LLMs) makes LLM-generated text flood many areas of our daily lives at an incredible speed and is widely accepted by humans. As LLMs continue to expand, there is an imperative need to develop detectors that can detect LLM-generated text. This is crucial to mitigate potential misuse of LLMs and safeguard realms like artistic expression and social networks from harmful influence …
arxiv cs.ai cs.cl detection future generated llm survey text type
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