Update README.md

README.md

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 Silver Retriever model encodes the Polish sentences or paragraphs into a 768-dimensional dense vector space and can be used for tasks like document retrieval or semantic search.
 
-It was initialized from the [HerBERT-base](https://huggingface.co/allegro/herbert-base-cased) model and fine-tuned on the [PolQA](https://huggingface.co/ipipan/polqa) and [MAUPQA](https://huggingface.co/ipipan/maupqa) datasets for 15,000 steps with a batch size of 1,024.
+It was initialized from the [HerBERT-base](https://huggingface.co/allegro/herbert-base-cased) model and fine-tuned on the [PolQA](https://huggingface.co/ipipan/polqa) and [MAUPQA](https://huggingface.co/ipipan/maupqa) datasets for 15,000 steps with a batch size of 1,024. Please refer to the [SilverRetriever: Advancing Neural Passage Retrieval for Polish Question Answering](https://arxiv.org/abs/2309.08469) for more details.
 
 ## Evaluation
 
@@ -137,4 +137,13 @@ CC BY-SA 4.0
 
 ### Citation Information
 
-[More Information Needed]
+```
+@misc{rybak2023silverretriever,
+    title={SilverRetriever: Advancing Neural Passage Retrieval for Polish Question Answering}, 
+    author={Piotr Rybak and Maciej Ogrodniczuk},
+    year={2023},
+    eprint={2309.08469},
+    archivePrefix={arXiv},
+    primaryClass={cs.CL}
+}
+```