GPTZero可精准识别AI生成文本,防止误判与滥用。
GPTZero: Robust Detection of LLM-Generated Texts
- 采用分层多任务架构,灵活区分人类与AI文本
- 在多个领域实现顶尖准确率,支持细粒度预测
- 抗篡改能力强,适合教育、出版等可信场景
随着大语言模型(LLMs)的兴起,文本真实性问题从抄袭转向了人机文本的辨别。这一转变引发技能评估失效、低质内容泛滥和虚假信息传播等风险。为此,我们提出GPTZero——一种工业级AI文本检测解决方案,可可靠区分人类撰写与LLM生成文本。核心贡献包括:设计分层多任务架构,支持人类与AI文本的灵活分类;在多种领域实现当前最优准确率,提供细粒度预测;通过多层级自动化红队测试,显著提升对对抗攻击与改写文本的鲁棒性。GPTZero具备高精度与可解释性,同时引导用户负责任使用,保障文本评估的公平透明。
原文摘要 · Abstract (English)
While historical considerations surrounding text authenticity revolved primarily around plagiarism, the advent of large language models (LLMs) has introduced a new challenge: distinguishing human-authored from AI-generated text. This shift raises significant concerns, including the undermining of skill evaluations, the mass-production of low-quality content, and the proliferation of misinformation. Addressing these issues, we introduce GPTZero a state-of-the-art industrial AI detection solution, offering reliable discernment between human and LLM-generated text. Our key contributions include: introducing a hierarchical, multi-task architecture enabling a flexible taxonomy of human and AI texts, demonstrating state-of-the-art accuracy on a variety of domains with granular predictions, and achieving superior robustness to adversarial attacks and paraphrasing via multi-tiered automated red teaming. GPTZero offers accurate and explainable detection, and educates users on its responsible use, ensuring fair and transparent assessment of text.
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