Papers with classification-based detectors
IMGTB: A Framework for Machine-Generated Text Detection Benchmarking (2024.acl-demos)
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| Challenge: | MGTD methods are needed in many areas, such as prevention of disinformation spreading, plagiarism, impersonation and identity theft. |
| Approach: | They propose a framework for machine-generated text detection that integrates custom methods and evaluation datasets into existing frameworks. |
| Outcome: | The proposed framework simplifies the benchmarking of machine-generated text detection methods by easy integration of custom (new) methods and evaluation datasets. |
Explaining Generalization of AI-Generated Text Detectors Through Linguistic Analysis (2026.eacl-long)
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| Challenge: | Existing studies have reported generalization gaps in AI-text detectors, but they lack insights into the causes. |
| Approach: | They propose to analyze generalization behavior of AI-text detectors using linguistic analysis to explain performance variance. |
| Outcome: | The proposed model can generalize across unseen prompts, model families, and domains, but it can't generalize under distribution shifts. |