MGTEVAL: An Interactive Platform for Systemtic Evaluation of Machine-Generated Text Detectors
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...
| Authors | Yuanfan Li, Qi Zhou, Chengzhengxu Li et al. |
|---|---|
| Primary category | cs.CR |
| Published | 28 April 2026 |
| Last updated at source | 28 April 2026 |
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