What is AI detection in Ruixin paper
Ruixin Paper AI Detection is a one-stop academic integrity detection system launched by Zhongke Ruijian, focusing on AIGC (AI-generated content) detection and academic misconduct identification. The platform integrates the dual-dimensional detection capabilities of text and academic images, and can accurately identify the content of papers generated by mainstream large models such as ChatGPT, Wenxin Yiyan, and Doubao. At the same time, it supports AI-generated trace recognition and tampering detection of academic images such as experimental images and data charts. Ruixin Paper Testing provides in-depth interpretable reports, including AI rate-weighted results, risk classification, paragraph-level positioning and revision suggestions, to help university teachers and students in advance ”self-test to avoid mines”.
The main functions of AI detection in Ruixin Papers
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AI text detection : Accurately identify the content of papers generated by mainstream large models such as ChatGPT, Wenxin Yiyan, Doubao, and DeepSeek, and highlight and mark high-risk paragraphs.
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Academic Photo Appraisal :Exclusively supports AI-generated trace recognition and tampering detection of academic images such as experimental images, data charts, and statistical graphs.
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Batch detection processing : The faculty side supports batch upload and batch detection of undergraduate, master’s, and doctoral dissertations and coursework.
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Multi-format compatible : Supports mainstream formats such as DOCX, PDF, and JPG, and can handle complex documents with mixed images and text.
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Intelligent Risk Reporting : Provide an overall ”originality/AI risk” index, grade it according to the four levels of AD risk, locate risk segments and give specific modification suggestions.
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Manage back-office systems :Institutional managers can obtain multi-dimensional data statistical analysis reports through the backend to grasp the academic integrity status at a macro level.
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Multi-terminal interoperability :The PC official website is interoperable with the ”Ruijian AI” WeChat mini-program account, no need to register repeatedly, and can be detected anytime and anywhere.
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Data security : Detect data encrypted transmission and storage, support private deployment, and the original paper can be set to be automatically destroyed at a fixed time.
How to use Ruixin Paper AI detection
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Register Login :Visit the official website of Ruixin Paper AI testing ruijianai.com , register using your mobile phone number + verification code, or scan the code on WeChat to log in with one click.
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Identity authentication : Complete institutional certification (select your institution) and role certification (teacher/student). The teacher side supports account secret login, and the school can configure the account uniformly.
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Submit for testing : Upload the paper file (supports DOCX and PDF formats) and select the detection type (text detection/image detection/comprehensive detection).
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View Report : The system automatically generates a test report and views the AI rate weighting results, risk classification (AD), risk paragraph highlighting and modification suggestions online.
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Export Report : Supports exporting test reports to PDF format for easy archiving or submission to mentors for review.
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Batch operation (teacher side) :Teachers can upload student papers in batches and complete AI detection of multiple documents with one click, greatly improving review efficiency.
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Applet usage :WeChat Search ”Ruijian AI” applet, interoperates with PC accounts, and can view detection progress and report results anytime and anywhere.
Core advantages of AI detection in Ruixin Papers
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Leading the way in technical authority Relying on the more than 20 years of technological accumulation of the Institute of Computing Technology of the Chinese Academy of Sciences, it has 53 invention patents, 34 software copyrights, won 2 second prizes in the National Natural Science Award and 1 first prize in the Beijing Science and Technology Progress Award.
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Comprehensive detection dimension :The only platform in China that supports both AI text detection + academic image authentication, covering multimodal content such as paper text content, experimental images, and data charts.
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High detection accuracy : The accuracy rate of key scene detection exceeds 90%, supporting the identification of 200+ mainstream generative models such as DeepSeek, ChatGPT, Wenxin Yiyan, and Doubao.
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Extreme Speed Detection Experience : Relying on heterogeneous software and hardware collaborative acceleration technology, we can achieve millisecond-level results for 10,000-word long texts without long waiting times.
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Report depth is interpretable : Provide AI rate-weighted results, AD four-level risk classification, paragraph-level risk positioning and specific modification suggestions, rather than simply ”pass/fail”.
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Data security and control : The detection data is fully encrypted, transmitted and stored, supports private deployment, and the original paper can be set to be automatically destroyed at a fixed time. It is promised not to leak or use it for other purposes.
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Seamless interoperability between multiple terminals :The PC official website and the ”Ruijian AI” WeChat mini-program account are interconnected, so there is no need to register repeatedly and testing can be completed anytime and anywhere.
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Flexible deployment mode :Support various cooperation methods such as API docking, private deployment, and white-label customization to meet the personalized needs of different colleges and universities.
Application scenarios of AI detection in Ruixin paper
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Graduation thesis self-examination Undergraduate, master’s, and doctoral students conduct independent testing before submitting their dissertations to detect AI-generated risks in advance and avoid academic misconduct.
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Review of opening reports : Perform AI testing before graduate students submit their proposal reports to ensure that the research plan is original and meets academic standards.
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Coursework Detection : Students self-check before submitting course papers and final assignments. Teachers review student assignments in batches and quickly locate traces of AI generation.
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Teacher paper review : When instructors guide multiple student papers, they conduct batch testing and obtain risk classification reports to accurately locate problem paragraphs and improve guidance efficiency.
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Academic journal submissions : Researchers test the originality of papers before submitting them to ensure that they meet the journal’s disclosure requirements for AI-generated content.
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Academic management of institutions :The Academic Affairs Office and the Graduate School obtain multi-dimensional data statistical analysis reports through the management backend to grasp the academic integrity of the entire school at a macro level.
