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This model is part of the research presented in the paper [Machine-generated text detection prevents language model collapse](https://arxiv.org/abs/2502.15654), which proposes an approach to prevent model collapse based on importance sampling from a machine-generated text detector. The official implementation and training scripts are available in the GitHub repository: [GeorgeDrayson/model_collapse](https://github.com/GeorgeDrayson/model_collapse)
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## Usage
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To use the model for detecting machine-generated text:
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This model is part of the research presented in the paper [Machine-generated text detection prevents language model collapse](https://arxiv.org/abs/2502.15654), which proposes an approach to prevent model collapse based on importance sampling from a machine-generated text detector. The official implementation and training scripts are available in the GitHub repository: [GeorgeDrayson/model_collapse](https://github.com/GeorgeDrayson/model_collapse)
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The model was trained on the [MAGE](https://aclanthology.org/2024.acl-long.3/) dataset.
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## Usage
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To use the model for detecting machine-generated text:
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