AI paper index
AI Detection
One-line summary
An AI research paper on AI Detection.
Engineering notes
Engineering notes will be added by the aipentium editorial team.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为大语言模型、生成式AI、ChatGPT相关技术、计算机视觉、深度学习等高价值论文补充中文说明。
Original abstract
The goal of the present project is to evaluate a set of items designed to detect survey responses generated by large language models (LLMs). We have previously shown that these items are able to label responses generated by LLMs as being generated by LLMs. However, to ensure that the items do not incorrectly label responses generated by humans as being generated by LLMs, we need to test the items in samples of humans. To that end, we will compare responses to the items from six human samples (e.g., CloudResearch Connect; Prolific) to responses to the items from six LLM samples (e.g., Gemini 2.5 Pro; OpenAI gpt-5.1).
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