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Introduction

This is the reference code for main functions of LLM4Rerank accepted by WWW'25. The simple prompt templates merely serve as a functional reference.

Citation

If you feel our work is insightful and want to use the code or cite our paper, please add the following citation to your paper references.

@inproceedings{gao2025llm4rerank,
  title={LLM4Rerank: LLM-based Auto-Reranking Framework for Recommendations},
  author={Gao, Jingtong and Chen, Bo and Zhao, Xiangyu and Liu, Weiwen and Li, Xiangyang and Wang, Yichao and Wang, Wanyu and Guo, Huifeng and Tang, Ruiming},
  booktitle={Proceedings of the ACM on Web Conference 2025},
  pages={228--239},
  year={2025}
}

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  • Python 100.0%