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ImBD
xyzhu1225/ImBD
ImBD is a text classification model from xyzhu1225. Use it when you need a label for a piece of text. The card lists the license as apache-2.0.
<h1 align="center"Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection</h1
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Public
Updated Dec 17, 2024
Repo size
21.2 GB
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2
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At a glance
- Task
- Text Classification
- License
- apache-2.0
- Access
- Public
- Created
- Dec 12, 2024
- Updated
- Dec 17, 2024
- SHA
- 443c8e3c
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Model card
From the Hugging Face model README
<h1 align="center">Imitate Before Detect: Aligning Machine Stylistic Preference for Machine-Revised Text Detection</h1>
<p align="center">
<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>
</p>
<p align="center">
*Equal contribution.<br> †Equal contribution of corresponding author.
</p>
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.
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!
🔥 News
- Task
- Text Classification
- License
- apache-2.0
- Languages
- en
- Created
- Dec 12, 2024
- Updated
- Dec 17, 2024