Update README.md

README.md

@@ -96,7 +96,7 @@ hf download GenSI/MoMa-modules-ICLR --repo-type model --local-dir ./hub
 
 ### Integration with MoMa
 
-After downloading, place the `hub/` directory under the [MoMa codebase](https://github.com/Xiaonan-Wang-AIR/MoMa) root:
+After downloading, place the `hub/` directory under the [MoMa codebase](https://github.com/Thomaswbt/MoMa) root:
 
 ```
 MoMa/
@@ -109,7 +109,7 @@ MoMa/
 └── ...
 ```
 
-Then follow the instructions in the [MoMa repository](https://github.com/Xiaonan-Wang-AIR/MoMa) to run Adaptive Module Composition and downstream fine-tuning:
+Then follow the instructions in the [MoMa repository](https://github.com/Thomaswbt/MoMa) to run Adaptive Module Composition and downstream fine-tuning:
 
 ```bash
 # Adaptive Module Assembly (can be skipped using precomputed results in json/)
@@ -147,15 +147,6 @@ MoMa achieves state-of-the-art performance on 17 material property prediction be
 }
 ```
 
-```bibtex
-@article{shoghi2023molecules,
-  title={From molecules to materials: Pre-training large generalizable models for atomic property prediction},
-  author={Shoghi, Nima and Kolluru, Adeesh and Kitchin, John R and Ulissi, Zachary W and Zitnick, C Lawrence and Wood, Brandon M},
-  journal={arXiv preprint arXiv:2310.16802},
-  year={2023}
-}
-```
-
 ## License
 
 This work is licensed under a [Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License](http://creativecommons.org/licenses/by-nc-sa/4.0/).