Update README.md

README.md

@@ -171,5 +171,13 @@ We release the SmolVLM checkpoints under the Apache 2.0 license.
 The training data comes from [The Cauldron](https://huggingface.co/datasets/HuggingFaceM4/the_cauldron) and [Docmatix](https://huggingface.co/datasets/HuggingFaceM4/Docmatix) datasets, with emphasis on document understanding (25%) and image captioning (18%), while maintaining balanced coverage across other crucial capabilities like visual reasoning, chart comprehension, and general instruction following.
 <img src="https://huggingface.co/HuggingFaceTB/SmolVLM-Instruct/resolve/main/mixture_the_cauldron.png" alt="Example Image" style="width:90%;" />
 
-
+# Citation information
+You can cite us in the following way:
+```bibtex
+@unpublished{marafioti2025smolvlm,
+  title = {SmolVLM: Redefining small and efficient multimodal models},
+  author = {Marafioti, Andr\'{e}s and Zohar, Orr and Farr\'{e}, Miquel and Noyan, Merve and Bakouch, Elie and Cuenca, Pedro and Zakka, Cyril and Ben Allal, Loubna and Lozhkov, Anton and Tazi, Nouamane and Srivastav, Vaibhav and Lochner, Joshua and Larcher, Hugo and Morlon, Mathieu and Tunstall, Lewis and von Werra, Leandro and Wolf, Thomas},
+  year = {2025},
+}
+```