合成文本检测系统研究综述
Synthetic Text Detection: Systemic Literature Review
摘要：
在文本分析和处理领域，生成的文本攻击比以往任何时候都更容易创建。为了对抗这些攻击，开源模型和数据集已经成为创建自动检测算法以防御真实性的主要趋势。为此，合成文本检测已成为一个越来越可行的研究课题。这篇综述的目的是创建一个当前文献的状态快照，并为未来的作者降低进入门槛。为了实现这一目标，我们确定了这一领域的一些研究趋势和挑战。
英文摘要：
Within the text analysis and processing fields, generated text attacks have been made easier to create than ever before. To combat these attacks open sourcing models and datasets have become a major trend to create automated detection algorithms in defense of authenticity. For this purpose, synthetic text detection has become an increasingly viable topic of research. This review is written for the purpose of creating a snapshot of the state of current literature and easing the barrier to entry for future authors. Towards that goal, we identified few research trends and challenges in this field.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
