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@@ -10,4 +10,37 @@ pipeline_tag: text-classification
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  tags:
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  - machine-text-detection
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  - machine-revised-text-detection
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  tags:
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  - machine-text-detection
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  - machine-revised-text-detection
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+ ---
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+ <h1 align="center">Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection</h1>
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+ <p align="center">
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+ <a href="https://scholar.google.com/citations?user=Au_y5poAAAAJ">Jiaqi Chen</a><sup>*</sup>, <a href="https://xyzhu1225.github.io/">Xiaoye Zhu</a><sup>*</sup>, <a href="https://leolty.github.io/">Tianyang Liu</a><sup>*</sup>, Ying Chen, <a href="https://xinhuichen-02.github.io/">Xinhui Chen</a>,<br> <a href="https://scholar.google.com/citations?user=koA9QbMAAAAJ">Yiwen Yuan</a>, <a href="https://cooperleong00.github.io/">Chak Tou Leong</a>, <a href="https://zcli-charlie.github.io/">Zuchao Li</a><sup>†</sup>, Tang Long, <a href="https://yusalei.github.io/">Lei Zhang</a>, <br><a href="https://scholar.google.com/citations?user=281EWzQAAAAJ">Chenyu Yan</a>, <a href="https://scholar.google.com/citations?user=mliv6KEAAAAJ">Guanghao Mei</a>, <a href="https://scholar.google.com/citations?user=epTfECgAAAAJ">Jie Zhang</a><sup>†</sup>, <a href="https://scholar.google.com/citations?user=BLKHwNwAAAAJ">Lefei Zhang</a><sup>†</sup>
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+ </p>
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+ <p align="center">
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+ *Equal contribution.<br> †Equal contribution of corresponding author.
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+ </p>
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+ <p align="center">
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+ <a href="https://www.python.org/downloads/release/python-3100/"><img src="https://img.shields.io/badge/python-3.10-blue.svg" alt="Python Version 3.10"></a>
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+ <a href="https://github.com/Jiaqi-Chen-00/ImBD/issues"><img src="https://img.shields.io/github/issues/Jiaqi-Chen-00/ImBD" alt="GitHub Issues"></a>
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+ <a href="https://github.com/Jiaqi-Chen-00/ImBD/stargazers"><img src="https://img.shields.io/github/stars/Jiaqi-Chen-00/ImBD" alt="GitHub Stars"></a>
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+ <a href="https://github.com/Jiaqi-Chen-00/ImBD/network/members"><img src="https://img.shields.io/github/forks/Jiaqi-Chen-00/ImBD" alt="GitHub Forks"></a>
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+ </p>
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+ <p align="center">
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+ | <img src="https://img.icons8.com/color/48/000000/internet.png" alt="Platform" width="15" height="15" style="vertical-align: middle;"/><a href="https://machine-text-detection.github.io/ImBD/"><b>Website</b></a> | <img src="https://img.icons8.com/?size=100&id=13580&format=png&color=000000" alt="Paper" width="15" height="15" style="vertical-align: middle;"/> <a href="https://drive.google.com/file/d/1bVJIE94AxfSfJVIVUhdcntRSlseM06Lw/view?usp=sharing"><b>Paper</b></a> | <img src="https://img.icons8.com/?size=100&id=1475&format=png&color=90CAF9" alt="Data" width="15" height="15" style="vertical-align: middle;"/> <a href="https://github.com/Jiaqi-Chen-00/ImBD/tree/main/data"><b>Data</b></a> | <img src="https://img.icons8.com/?size=100&id=sop9ROXku5bb&format=png&color=000000" alt="Data" width="15" height="15" style="vertical-align: middle;"/> <a href="https://huggingface.co/xyzhu1225/ImBD/tree/main"><b>Model</b></a> |
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+ </p>
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+ Detecting **machine-revised text** remains a challenging task as it often involves subtle style changes embedded within human-originated content. The ImBD framework introduces a novel approach to tackle this problem, leveraging **style preference optimization (SPO)** and **Style-CPC** to effectively capture machine-style phrasing. Our method achieves state-of-the-art performance in detecting revisions by open-source and proprietary LLMs like GPT-3.5 and GPT-4o, demonstrating significant efficiency with minimal training data.
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+ We are excited to share our code and data to support further exploration in detecting machine-revised text. We welcome your feedback and invite collaborations to advance this field together!
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+ ![Main Figure](https://machine-text-detection.github.io/ImBD/static/images/method.png)
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+
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+ ## 🔥 News
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+ - **[2024, Dec 13]** Our [model](https://huggingface.co/xyzhu1225/ImBD/tree/main) and local inference code are available.
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+ - **[2024, Dec 9]** 🎉🎉 Our paper has been accepted by AAAI 25!
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+ - **[2024, Dec 7]** We've released our [website](https://machine-text-detection.github.io/ImBD).