大模型回答一键鉴别：水印技术如何识别学生照抄AI作业，教育反作弊新思路
arXiv:2605.16336v2 Announce Type: replace-cross Abstract: Large language models (LLMs) have made fluent essay writing, code drafting, and quiz answeri…
精准定位人机协作文本中AI生成的词元，突破文档级分类局限。
arXiv:2607.21458v1 Announce Type: new Abstract: The rise of human-AI collaborative writing has created a growing need for fine-grained detection metho…
无需访问模型内部，用广义JS散度精准识别AI生成文本，给大模型内容检测开了扇新窗
arXiv:2510.07500v3 Announce Type: replace Abstract: We study black-box detection of machine-generated text under practical constraints: the scoring mo…
用检测方法揭示英国和瑞典议会文件中未披露的LLM生成内容，直击AI透明度争议。
arXiv:2606.14209v1 Announce Type: new Abstract: In this paper, we evaluate the extent of undisclosed LLM-generated content in texts from the parliamen…
这篇论文提出检测与归因LLM代笔创作的方法，直击AI生成文本的鉴别难题。
arXiv:2603.28054v2 Announce Type: replace Abstract: In this paper, we introduce GhostWriteBench, a dataset for LLM authorship attribution. It comprise…
零依赖检测LLM幻觉，轻量级开源工具助力AI输出可信度提升。
Article URL: https://github.com/malaxiya202505https://github.com/malaxiya20250530-glitch/anchor-llm-in-truth Comments URL: https://news.ycombinator.co…
针对Wikipedia真实编辑场景的LLM文本检测新基准TSM-Bench发布，填补了现有泛化基准的空白。
arXiv:2605.31113v1 Announce Type: new Abstract: Automatically detecting machine-generated text (MGT) is critical to maintaining the knowledge integrit…
有科学依据的大模型文本检测器，揭穿AI伪装的利器，即开即用。
Article URL: https://huggingface.co/spaces/akolpakov/SatorArepo Comments URL: https://news.ycombinator.com/item?id=48202776 Points: 2 # Comments: 2