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chatgpt-comparison-detection's Introduction

ChatGPT-Comparison-Detection Project 🔬

(📢 Feedback Space for Detectors please feel free to leave your feedback here!)

On December 9, 2022, which is 10 days after the launch of ChatGPT, we started this project, for two purposes:

  1. To create some open-source models for efficiently detecting ChatGPT-generated content;
  2. To collect a valuable human-ChatGPT comparison Q&A corpus, to facilitate releated research.

2022 年 12 月 9 日,也就是 ChatGPT 推出的第 10 天,我们开始了这个项目,为了两个目的:

  1. 做出一些开源模型工具来高效检测 ChatGPT 生成的内容;
  2. 收集一批有价值的人类和 ChatGPT 对比的中英双语问答语料,来助力相关学术研究。

Welcome to follow our project! We have released a preview of our ChatGPT detectors, and the models, dataset will be open-sourced in about a week. We look forward to receiving feedback from the community to help improve the models and make contributions to open academic research together:)
欢迎关注我们项目,我们目前已经发布ChatGPT检测器预览版,并将于约一周内发布开源模型、数据集。期待得到广大群众的反馈,来帮助我们改进模型,为开放的学术研究一起做贡献!


Preview of our ChatGPT detectors / 检测器网页版

image (Hosted on 🤗 Hugging Face Spaces)

We provide three kinds of detectors, all in Bilingual / 我们提供了三个版本的检测器,且都支持中英文:

  • QA version / 问答版: detect whether an answer is generated by ChatGPT for certain question, using PLM-based classifiers / 判断某个问题的回答是否由ChatGPT生成,使用基于PTM的分类器来开发;
  • Sinlge-text version / 独立文本版: detect whether a piece of text is ChatGPT generated, using PLM-based classifiers / 判断单条文本是否由ChatGPT生成,使用基于PTM的分类器来开发;
  • Linguistic version / 语言学版: detect whether a piece of text is ChatGPT generated, using linguistic features / 判断单条文本是否由ChatGPT生成,使用基于语言学特征的模型来开发;

Important Dates / 重要节点:

Events Dates
Project Launch / 项目启动 2022-12-09 ✅
Comparison Data Collection / 对比数据收集 2022-12-11 to Now 🏃‍♀️
Release ChatGPT Detector (Demo) / 检测器 Demo 发布 2023-01-11 ✅
Models Release / 模型开源 Coming in a week 🛬
Comparison Corpus Release / 语料集开源 Coming in a week 🛬
Research Paper / 研究论文发布 Coming in a week 🛬
... ...

About Us / 关于我们

We are a group of insignificant researchers (in the shadow of ChatGPT) hoping to do some significant work for the community. The team for this projects consists of PhD students and engineers from 6 universities/companies.
我们是一群(在 ChatGPT 的阴影下)渺小的研究人员,但希望为社区做一些有意义的事。这个项目的团队由来自6所大学/公司的博士生和工程师组成。

Biyang Guo Minqi Jiang Ziyuan Wang Xin Zhang
Jinran Nie Yuxuan Ding Jianwei Yue Yupeng Wu

chatgpt-comparison-detection's People

Contributors

beyondguo avatar izhx avatar

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