Create README.md
Browse files# 🧠 LLM-QE: Improving Query Expansion by Aligning Large Language Models with Ranking Preferences
This is the official model for **[LLM-QE: Improving Query Expansion by Aligning Large Language Models with Ranking Preferences](https://arxiv.org/abs/2502.17057)**.
## Model Description
The LLM-QE model is designed to enhance **query expansion** in **information retrieval** tasks by leveraging **Large Language Models (LLMs)**, improving the **alignment between LLMs and ranking preferences** during query expansion.
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## 📄 **Paper**
For a detailed explanation of the methodology and experiments, please refer to our paper:
[**LLM-QE: Improving Query Expansion by Aligning Large Language Models with Ranking Preferences**](https://arxiv.org/abs/2502.17057)
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## 🔄 Reproduce the Results
To reproduce the experiments and benchmarks from the paper, follow the instructions provided in the official GitHub repository:
[👉 GitHub: NEUIR/LLM-QE](https://github.com/NEUIR/LLM-QE).
## 🛠️ Model Details
- Model Name: LLM-QE-DPO
- Architecture: LLaMA3-8B-Instruct with query expansion alignment using ranking preferences
## 🔖 Citation
If you use LLM-QE in your work, please consider citing our paper:
```
@misc
{yao2025llmqeimprovingqueryexpansion,
title={LLM-QE: Improving Query Expansion by Aligning Large Language Models with Ranking Preferences},
author={Sijia Yao and Pengcheng Huang and Zhenghao Liu and Yu Gu and Yukun Yan and Shi Yu and Ge Yu},
year={2025},
eprint={2502.17057},
archivePrefix={arXiv},
primaryClass={cs.IR},
url={https://arxiv.org/abs/2502.17057},
}
```