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README.md

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 - google-bert/bert-base-uncased
 ---
 
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 # 🖼️📝 OneEncoder: A Unified Text & Image Model  
 
 **OneEncoder** is a lightweight framework for cross-modal alignment, focusing on efficiently integrating **text and images** (with future extensions to other modalities). Unlike traditional methods relying on massive modality-specific encoders, OneEncoder progressively aligns different data types, making it cost-effective and performant even on small paired datasets.  
@@ -25,14 +24,14 @@ base_model:
 - **Image-Text Retrieval**  
 - **Multimodal Content Understanding**  
 
+## 📝 Authors  
+📌 **Bilal FAYE**, Hanane AZZAG, Mustapha LEBBAH, Djamel BOUCHAFFRA  
+
+## 📄 Research Paper  
+📜 **arXiv**: [OneEncoder: Progressive Cross-Modal Alignment](https://arxiv.org/abs/2409.11059)  
+
 ## 📌 Resources  
 🔗 **GitHub Repo**: [OneEncoder](https://github.com/b-faye/OneEncoder)  
 🚀 **Hugging Face Demo**: [OneEncoder Retriever](https://huggingface.co/spaces/bilalfaye/OneEncoder-retriever)  
 📓 **Demo Notebook**: [OneEncoder Demos](https://github.com/b-faye/OneEncoder/tree/main/demo)  
 🔊 **OneEncoder for Text, Image & Audio**: [HF Model](https://huggingface.co/bilalfaye/OneEncoder-text-image-audio)  
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-
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-# Authors:
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-Bilal FAYE, Hanane AZZAG, Mustapha LEBBAH, Djamel BOUCHAFFRA