![](https://cdn-uploads.huggingface.co/production/uploads/639c82461c597f893b6e4bbf/yCT3BCYJUv7AQFZOYyGsX.png)
We introduce RouterRetriever, a retrieval model that leverages a mixture of domain-specific experts by using a routing mechanism to select the most appropriate expert for each query.
Links for Reference
- Repository: https://github.com/amy-hyunji/RouterRetriever
- Paper: https://arxiv.org/abs/2409.02685
- Point of Contact: [email protected]
Dataset
Models are trained and evaluated with datasets in https://huggingface.co/BeIR
Usage
Please refer to the Github repository for detailed usage examples.
Citation
If you find the following model helpful, please consider citing our paper!
@article{Lee2024RouterRetrieverET,
title={RouterRetriever: Routing over a Mixture of Expert Embedding Models},
author={Hyunji Lee and Luca Soldaini and Arman Cohan and Minjoon Seo and Kyle Lo},
journal={AAAI},
year={2025},
url={https://api.semanticscholar.org/CorpusID:272398087}
}
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Model tree for amy-hyunji-lee/RouterRetriever
Base model
facebook/contriever