jpwahle/emnlp22-transforming
The official implementation of the EMNLP 2022 paper "How Large Language Models are Transforming Machine-Paraphrased Plagiarism".
This project helps researchers and educators understand and generate machine-paraphrased text, particularly for studying plagiarism. You input original text, and it outputs AI-generated paraphrases using models like T5 or GPT-3. This is for researchers in natural language processing, academic integrity specialists, and educators concerned with detecting sophisticated AI-generated content.
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Use this if you need to generate high-quality, human-like paraphrases for research on text originality, academic integrity, or to test plagiarism detection systems.
Not ideal if you are looking for a commercial plagiarism detection tool or a simple paraphrasing tool for everyday use, as it requires technical setup and may incur costs for powerful models.
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Last pushed
Dec 20, 2023
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