--- license: apache-2.0 task_categories: - text-retrieval language: - zh tags: - text - retrieval size_categories: - 1K1B** | gte-Qwen2-1.5B-instruct | 77.35 | | | gte-Qwen2-7B-instruct | **86.55** | | | e5-mistral-7b-instruct | 76.40 | | | Qwen3-Embedding-8B | 84.61 | | | | | | Trained | Out-of-Domain | 87.23 | | | In-Domain | 91.83 | The trained models (based on `bge-base-zh-v1.5`) are trained with queries by our data generation strategies described in the paper. The in-domain model can be downloaded from [Google Drive](https://drive.google.com/drive/folders/1l2pvELMQPKjhAasNGaY7d14jMK0iCRhj). ### Citation ```bibtex @misc{xu2025denseretrieversfailsimple, title={Dense Retrievers Can Fail on Simple Queries: Revealing The Granularity Dilemma of Embeddings}, author={Liyan Xu and Zhenlin Su and Mo Yu and Jiangnan Li and Fandong Meng and Jie Zhou}, year={2025}, eprint={2506.08592}, archivePrefix={arXiv}, primaryClass={cs.CL}, url={https://arxiv.org/abs/2506.08592}, } ```