---
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](https://huggingface.co/papers/2603.27949)
- **Repository:** [https://github.com/johnsonwangzs/MGT-Mini](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:
```bibtex
@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}
}
```