M-RangeDetector: Enhancing Generalization in Machine-Generated Text Detection through Multi-Range Attention Masks (2025.findings-acl)
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| Challenge: | Existing supervised methods for text detection are overfitting within their training domains. |
| Approach: | They propose a method that integrates four distinct attention masking strategies into a Multi-Range Attention module to learn various writing strategies for machine-generated text detection. |
| Outcome: | The proposed method improves the generalization capability of existing detectors on three datasets. |
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