Update README.md

README.md

@@ -23,4 +23,16 @@ Our paper (LREC-COLING 2024): [A Multimodal In-Context Tuning Approach for E-Com
 | Avg_L #MP | 13.50      | 20.34    | 18.30           |
 | Avg_L #Desp | 80.05    | 79.03    | 80.13           |
 
-**Table 1:** The detailed statistics of MD2T. Avg_N and Avg_L represent the average number and length respectively. MP and Desp indicate the marketing keywords and description.
+**Table 1:** The detailed statistics of MD2T. Avg_N and Avg_L represent the average number and length respectively. MP and Desp indicate the marketing keywords and description.
+
+
+# Cite our Work
+
+```
+@article{li2024multimodal,
+  title={A Multimodal In-Context Tuning Approach for E-Commerce Product Description Generation},
+  author={Li, Yunxin and Hu, Baotian and Luo, Wenhan and Ma, Lin and Ding, Yuxin and Zhang, Min},
+  journal={arXiv preprint arXiv:2402.13587},
+  year={2024}
+}
+```