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Towards Detecting AI-Generated Text within Human-AI Collaborative Hybrid Texts
March 7, 2024, 5:47 a.m. | Zijie Zeng, Shiqi Liu, Lele Sha, Zhuang Li, Kaixun Yang, Sannyuya Liu, Dragan Ga\v{s}evi\'c, Guanliang Chen
cs.CL updates on arXiv.org arxiv.org
Abstract: This study explores the challenge of sentence-level AI-generated text detection within human-AI collaborative hybrid texts. Existing studies of AI-generated text detection for hybrid texts often rely on synthetic datasets. These typically involve hybrid texts with a limited number of boundaries. We contend that studies of detecting AI-generated content within hybrid texts should cover different types of hybrid texts generated in realistic settings to better inform real-world applications. Therefore, our study utilizes the CoAuthor dataset, which …
abstract ai-generated text arxiv challenge collaborative cs.ai cs.cl datasets detection generated human hybrid level ai studies study synthetic text type
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