Update README.md

README.md

@@ -31,3 +31,13 @@ To fine-tune ELMER on non-autoregressive text generation:
 >>> tokenizer = ElmerTokenizer.from_pretrained("RUCAIBox/elmer")
 >>> model = ElmerForConditionalGeneration.from_pretrained("RUCAIBox/elmer")
 ```
+
+## Citation
+```bibtex
+@article{lijunyi2022elmer,
+  title={ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation},
+  author={Li, Junyi and Tang, Tianyi and Zhao, Wayne Xin and Nie, Jian-Yun and Wen, Ji-Rong},
+  booktitle={EMNLP 2022},
+  year={2022}
+}
+```