Update README.md

README.md

@@ -15,4 +15,14 @@ task_categories:
 
 KOFFVQA is a general-purpose VLM benchmark in the Korean language. For more information, refer to [our leaderboard page](https://huggingface.co/spaces/maum-ai/KOFFVQA-Leaderboard) and the official [evaluation code](https://github.com/maum-ai/KOFFVQA).
 
-This contains the data for the benchmark consisting of images, their corresponding questions, and response grading criteria.  The benchmark focuses on free-form visual question answering, evaluating the ability of large vision-language models to generate comprehensive and accurate text responses to questions about images.
+This contains the data for the benchmark consisting of images, their corresponding questions, and response grading criteria.  The benchmark focuses on free-form visual question answering, evaluating the ability of large vision-language models to generate comprehensive and accurate text responses to questions about images.
+
+## Citation
+```
+@article{kim2025koffvqa,
+  title={KOFFVQA: An Objectively Evaluated Free-form VQA Benchmark for Large Vision-Language Models in the Korean Language},
+  author={Kim, Yoonshik and Jung, Jaeyoon},
+  journal={arXiv preprint arXiv:2503.23730},
+  year={2025}
+}
+```