This article shares a custom prompt designed specifically to reduce the detection rate of AI-generated papers. In actual tests, this prompt successfully lowered the AI rate to 6% in Weipu detection and to nearly 0% in Tencent Zhuque detection. The author conducted tests using the Gemini model, where the 2.5 Pro version produced higher quality output, while the 2.5 Flash version showed quality deviations. It is recommended that users generate content in small sections (no more than 1000 words at a time) and clear the context to maintain a low detection rate. Additionally, the author points out that the paperyy tool intentionally inflates the AI rate to induce paid paraphrasing services, whereas the speedai research assistant shows a detection rate of about 14%, which can be used as a reliable reference. This experience provides practical paraphrasing techniques for academic writing, helping researchers cope with the challenges of AI content detection.
Original Link:Linux.do






AI周刊:大模型、智能体与产业动态追踪
程序员数学扫盲课
冲浪推荐:AI工具与技术精选导航
Claude Code 全体系指南:AI 编程智能体实战
最新评论
开源的AI对话监控面板很实用,正好团队在找这类工具。准备试用一下。
折叠屏市场确实在升温,不过售罄也可能是备货策略。期待看到实际销量数据。
从磁盘I/O角度解释B树的设计动机,这个切入点很好。终于理解为什么数据库不用二叉树了。
IT术语转换确实是个痛点,之前用搜狗总是把技术词汇转成奇怪的词。智谱这个方向值得期待。
这个工具结合LLM和搜索API的思路很有意思,正好解决了我在做知识管理时遇到的问题。请问有没有部署文档?
这个漏洞确实严重,我们团队上周刚遇到类似问题。建议补充一下如何检测现有项目是否受影响的方法。
从简单规则涌现复杂性这个思路很有意思,让我想起元胞自动机。不过数字物理学在学术界争议还挺大的。
我也遇到了指令跟随变差的问题,特别是多轮对话时容易跑偏。不知道是模型退化还是负载优化导致的。