Update README.md

README.md

@@ -28,4 +28,18 @@ license: apache-2.0
 <h2>Research Significance</h2>
 <p>This dataset plays a crucial role in our study, enabling us to explore the capabilities of language models in forecasting and their potential to achieve human-level performance in predicting future events.</p>
 
-<p>For more details on our methodology and findings, please refer to our paper linked at the beginning of this document.</p>
+<p>For more details on our methodology and findings, please refer to our paper linked at the beginning of this document.</p>
+
+<h2>How to Cite</h2>
+<p>If you find our dataset and research useful for your work, please cite it using the following BibTeX entry:</p>
+
+```bibtex
+@article{Halawi2024Approaching,
+  title={Approaching Human-Level Forecasting with Language Models},
+  author={Halawi, Danny and Zhang, Fred and Yueh-Han, Chen and Steinhardt, Jacob},
+  journal={arXiv preprint arXiv:2402.18563},
+  year={2024},
+  url={https://arxiv.org/abs/2402.18563},
+  institution={UC Berkeley},
+  email={dhalawi@berkeley.edu, z0@eecs.berkeley.edu, john0922ucb@berkeley.edu, jsteinhardt@berkeley.edu}
+}