metadata
license: apache-2.0
library_name: peft
pipeline_tag: text-classification
base_model: Qwen/Qwen2.5-7B-Instruct
tags:
- ai-detection
- chinese
- nlpcc
EnsemJudge (Qwen2.5-7B-Instruct LoRA)
This repository contains a LoRA adapter for EnsemJudge, a robust framework for detecting Chinese LLM-generated text. This model is based on Qwen2.5-7B-Instruct and was developed as part of the system that achieved first place in the NLPCC 2025 Shared Task 1.
Resources
- Paper: EnsemJudge: Enhancing Reliability in Chinese LLM-Generated Text Detection through Diverse Model Ensembles
- Repository: https://github.com/johnsonwangzs/MGT-Mini
Description
EnsemJudge addresses the challenge of detecting AI-generated Chinese text, particularly in scenarios involving out-of-domain inputs or adversarial samples. The framework incorporates tailored strategies and ensemble voting mechanisms to demonstrate high effectiveness and reliability.
Citation
If you find this work useful, please cite:
@article{ensemjudge2025,
title={EnsemJudge: Enhancing Reliability in Chinese LLM-Generated Text Detection through Diverse Model Ensembles},
author={Guoyu Zhao and others},
journal={arXiv preprint arXiv:2603.27949},
year={2025}
}