Update README.md

README.md

@@ -1,7 +1,7 @@
 # PromCSE: Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning
 [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1Ubtve9fqljSTbFH4dYZkXOxitrUl6Az3?usp=sharing)
 arXiv link: https://arxiv.org/abs/2203.06875v2  
-To be published in [**EMNLP 2022**](https://2022.emnlp.org/)
+Published in [**EMNLP 2022**](https://2022.emnlp.org/)
 
 Our code is modified based on [SimCSE](https://github.com/princeton-nlp/SimCSE) and [P-tuning v2](https://github.com/THUDM/P-tuning-v2/). Here we would like to sincerely thank them for their excellent works.
 
@@ -251,12 +251,17 @@ Retrieval results for query: A woman is making a photo.
 Please cite our paper by:
 
 ```bibtex
-@misc{jiang2022promcse,
-      title={Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning}, 
-      author={Yuxin Jiang, Linhan Zhang and Wei Wang},
-      year={2022},
-      eprint={2203.06875},
-      archivePrefix={arXiv},
-      primaryClass={cs.CL}
+@inproceedings{jiang-etal-2022-improved,
+    title = "Improved Universal Sentence Embeddings with Prompt-based Contrastive Learning and Energy-based Learning",
+    author = "Jiang, Yuxin  and
+      Zhang, Linhan  and
+      Wang, Wei",
+    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2022",
+    month = dec,
+    year = "2022",
+    address = "Abu Dhabi, United Arab Emirates",
+    publisher = "Association for Computational Linguistics",
+    url = "https://aclanthology.org/2022.findings-emnlp.220",
+    pages = "3021--3035",
 }
 ```