MGTEVAL: An Interactive Platform for Systemtic Evaluation of Machine-Generated Text Detectors

Computer Science > Cryptography and Security [Submitted on 28 Apr 2026] MGTEVAL: An Interactive Platform for Systemtic Evaluation of Machine-Generated Text Detectors Yuanfan Li, Qi Zhou, Chengzhengxu Li, Zhaohan Zhang, Chenxu Zhao, Zepu Ruan, Chao Shen, Xiaoming Liu We present MGTEVAL, an extensible platform for systematic evaluation of Machine-Generated Text (MGT) detectors. Despite rapid progress in MGT detection, existing evaluations are often fragmented across datasets, preprocessing, attacks, and metrics, making results hard to compare and reproduce. MGTEVAL organizes the workflow into four components: Dataset Building, Dataset Attack, Detector Training, and Performance Evaluation. It supports constructing custom benchmarks by generating MGT with configurable LLMs, applying 12 text attacks to test sets, training detectors via a unified interface, and reporting effectiveness, robustness, and efficiency. The platform provides both command-line and Web-based interfaces for user-friendly experimentation without code rewriting. Subjects: Cryptography and Security (cs.CR); Computation and Language (cs.CL) Cite as: arXiv:2604.25152 [cs.CR]   (or arXiv:2604.25152v1 [cs.CR] for this version)   https://doi.org/10.48550/arXiv.2604.25152 Focus to learn more Submission history From: Xiaoming Liu [view email] [v1] Tue, 28 Apr 2026 02:55:29 UTC (2,364 KB) Access Paper: HTML (experimental) view license Current browse context: cs.CR < prev   |   next > new | recent | 2026-04 Change to browse by: cs cs.CL References & Citations NASA ADS Google Scholar Semantic Scholar Export BibTeX Citation Bookmark Bibliographic Tools Bibliographic and Citation Tools Bibliographic Explorer Toggle Bibliographic Explorer (What is the Explorer?) Connected Papers Toggle Connected Papers (What is Connected Papers?) Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart Citations?) Code, Data, Media Demos Related Papers About arXivLabs Which authors of this paper are endorsers? | Disable MathJax (What is MathJax?)