jpwahle/emnlp22-transforming

The official implementation of the EMNLP 2022 paper "How Large Language Models are Transforming Machine-Paraphrased Plagiarism".

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Experimental

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.

No commits in the last 6 months.

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.

academic-integrity plagiarism-research text-generation natural-language-processing education-technology
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 0 / 25

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Python

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Last pushed

Dec 20, 2023

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