Update README.md

README.md

@@ -36,6 +36,9 @@ These models are intended for research purposes in affective computing, human-AI
 **Out-of-Scope Use:**
 These models are trained on synthetic faces and may not generalize well to real-world, in-the-wild images without further adaptation. They should not be used for making critical decisions about individuals, for surveillance, or in any manner that could lead to discriminatory outcomes.
 
+## Google Colab
+https://colab.research.google.com/drive/11oUMo2HX0OuD9dx5ZM4ltNvoYxbI65hu?usp=sharing
+
 ## How to Use
 
 These are individual `.pth` files, each corresponding to one emotion classifier. To use them, you will typically:
@@ -249,7 +252,7 @@ If you use these models or the EMoNet-FACE benchmark in your research, please ci
 @inproceedings{schuhmann2025emonetface,
   title={{EMONET-FACE: An Expert-Annotated Benchmark for Synthetic Emotion Recognition}},
   author={Schuhmann, Christoph and Kaczmarczyk, Robert and Rabby, Gollam and Kraus, Maurice and Friedrich, Felix and Nguyen, Huu and Kalyan, Krishna and Nadi, Kourosh and Kersting, Kristian and Auer, Sören},
-  booktitle={Conference on Neural Information Processing Systems (NeurIPS) Track on Datasets and Benchmarks},
+  booktitle={Arxiv Preprint},
   year={2025} % Or actual year of publication
   % TODO: Add URL/DOI when available
 }