Update license and citation.

README.md

@@ -11,16 +11,16 @@ This finetuned model achieves an F1 score of 90.59 on the test split of the FUNS
 
 If you find LayoutLMv3 helpful, please cite the following paper:
 ```
-@article{huang2022layoutlmv3,
-  title={LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking},
+@inproceedings{huang2022layoutlmv3,
   author={Yupan Huang and Tengchao Lv and Lei Cui and Yutong Lu and Furu Wei},
-  journal={arXiv preprint arXiv:2204.08387},
+  title={LayoutLMv3: Pre-training for Document AI with Unified Text and Image Masking},
+  booktitle={Proceedings of the 30th ACM International Conference on Multimedia},
   year={2022}
 }
 ```
 
 ## License
 
-The content of this project itself is licensed under the [Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)](https://creativecommons.org/licenses/by-nc-sa/4.0/)
+MIT License.
 Portions of the source code are based on the [transformers](https://github.com/huggingface/transformers) project.
 [Microsoft Open Source Code of Conduct](https://opensource.microsoft.com/codeofconduct)