MGTBench: Benchmarking Machine-Generated Text Detection
Paper
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2303.14822
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Published
This modelcard aims to be a base template for new models. It has been generated using this raw template.
This model is used for detecting Machine-generated Texts.
This model trains on a corpus of both human and StableLM-generated answers for questions from SQuAD1 dataset. The dataset can be found here.
This model is created by fine-tuning Distilbert-base-uncased model. The training procedure follows He et al.'s instructions.