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@@ -98,4 +98,18 @@ vllm serve OPI-PIB/PolDense-1B --dtype bfloat16 --runner pooling --convert embed
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  The research was supported by the project <strong>Large Language Models for the European Union (LLMs4EU)</strong>. This project is co-funded by the Digital Europe Programme under Grant Agreement 101198470.
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- The research was supported [in part] by project “<strong>Cloud Artificial Intelligence Service Engineering (CAISE)</strong> platform to create universal and smart services for various application areas”, No. KPOD.05.10-IW.10-0005/24, as part of the European IPCEI-CIS program, financed by NRRP (National Recovery and Resilience Plan) funds. Computations were carried out using the computers of <strong>Centre of Informatics Tricity Academic Supercomputer & Network at Gdansk University of Technology</strong>.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  The research was supported by the project <strong>Large Language Models for the European Union (LLMs4EU)</strong>. This project is co-funded by the Digital Europe Programme under Grant Agreement 101198470.
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+ The research was supported [in part] by project “<strong>Cloud Artificial Intelligence Service Engineering (CAISE)</strong> platform to create universal and smart services for various application areas”, No. KPOD.05.10-IW.10-0005/24, as part of the European IPCEI-CIS program, financed by NRRP (National Recovery and Resilience Plan) funds. Computations were carried out using the computers of <strong>Centre of Informatics Tricity Academic Supercomputer & Network at Gdansk University of Technology</strong>.
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+ ## Citation
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+
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+ ```bibtex
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+ @misc{dadas2026parameterefficientretrieverspolisheuropean,
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+ title={Parameter-Efficient Retrievers for Polish and European Languages},
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+ author={Sławomir Dadas and Rafał Poświata and Małgorzata Grębowiec and Michał Perełkiewicz},
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+ year={2026},
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+ eprint={2609.12913},
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+ archivePrefix={arXiv},
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+ primaryClass={cs.CL},
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+ url={https://arxiv.org/abs/2609.12913}
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+ }
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+ ```