Update README.md

README.md

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 ### Description:
 `llama-embed-nemotron-8b` is a versatile text embedding model trained by NVIDIA and optimized for retrieval, reranking, semantic similarity, and classification use cases. This model has robust capabilities for multilingual and cross-lingual text retrieval. It is designed to serve as a foundational component in text-based Retrieval-Augmented Generation (RAG) systems.
 
-This model achieves state-of-the-art performance on the [multilingual MTEB leaderboard](https://huggingface.co/spaces/mteb/leaderboard) (as of October 21, 2025).
+This model achieves state-of-the-art performance on the [multilingual MTEB leaderboard](https://huggingface.co/spaces/mteb/leaderboard) as of October 21, 2025. Read more details in our [technical report](https://arxiv.org/abs/2511.07025).
 
 This model is for non-commercial/research use only.