Update README.md

README.md

@@ -13,7 +13,7 @@ Wan Ju Kang, Eunki Kim, Na Min An, Sangryul Kim, Haemin Choi, Ki Hoon Kwak, and
 
 ## 📄 [Paper](https://arxiv.org/abs/2503.13369)    
 
-Hello, we are a team of researchers based in KAIST AI working on accessible visualization.
+Hello, we are a team of researchers based in [KAIST AI](https://gsai.kaist.ac.kr) working on accessible visualization.
 In specific, we compiled a diagram description dataset for blind and low-vision (BLV) individuals.
 We worked in close cooperation with two schools for the blind, as well as over 30 sighted annotators, and we are grateful for their contribution.
 Check out our [preprint](https://arxiv.org/abs/2503.13369), and feel free to contact us at [email protected].
@@ -50,8 +50,16 @@ Tuning VLMs on Sightation enhanced various qualities of the diagram descriptions
 The capability of the dataset is most strongly pronounced with Qwen2-VL-2B model, shown above.
 
 ## BibTeX
+If you find our dataset helpful, please cite our work!
 ```bash
-@inproceedings{TBA
+@misc{kang2025sightationcountsleveragingsighted,
+      title={Sightation Counts: Leveraging Sighted User Feedback in Building a BLV-aligned Dataset of Diagram Descriptions}, 
+      author={Wan Ju Kang and Eunki Kim and Na Min An and Sangryul Kim and Haemin Choi and Ki Hoon Kwak and James Thorne},
+      year={2025},
+      eprint={2503.13369},
+      archivePrefix={arXiv},
+      primaryClass={cs.AI},
+      url={https://arxiv.org/abs/2503.13369}, 
 }
 ```