用DeBERTa架构提升AI文本检测的泛化能力，为防滥用与可信AI提供新方案。
arXiv:2608.01046v1 Announce Type: cross Abstract: The rapid spread of large language models (LLMs) across the web raises concerns about misinformation…
这篇论文提出了一种鲁棒的AI生成图像检测方法，能有效区分真实与AI合成内容。
arXiv:2607.14684v1 Announce Type: new Abstract: AI-generated image (AIGI) detectors achieve strong accuracy on clean benchmarks, but their performance…
首个针对GPT-Image-2生成文本丰富图像的多领域检测基准，应对AI合成内容鉴别挑战
arXiv:2606.19259v1 Announce Type: new Abstract: Text-rich images often contain privacy-sensitive, transactional, or decision-relevant information. As …
用多模态大模型看穿AI写的诗，图文结合检测现代中文诗歌真伪。
arXiv:2605.22654v1 Announce Type: new Abstract: Previous detection studies have shown that LLMs cannot be effectively used as detectors, but these stu…