Update README.md

README.md

@@ -102,53 +102,8 @@ Evaluation to come.
 
 ## Thank You and Credits
 
-- To [occiglot](https://huggingface.co/occiglot) and OSCAR for their data used to pre-train the model
-- To [deepset](https://huggingface.co/deepset) for the gbert-large, which is a really great model
 - To [jinaAI](https://huggingface.co/jinaai) for their BERT implementation that is used, especially ALiBi
+- To [deepset](https://huggingface.co/deepset) for the gbert-large, which is a really great model
+- To [occiglot](https://huggingface.co/occiglot) and OSCAR for their data used to pre-train the model
 - To [Tom](https://huggingface.co/tomaarsen), especially for sentence-transformers, [Björn and Jan from ellamind](https://ellamind.com/de/) for the consultation
-- To [Meta](https://huggingface.co/facebook) for XNLI 
-
-### BibTeX
-
-#### Sentence Transformers
-```bibtex
-@inproceedings{reimers-2019-sentence-bert,
-    title = "Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks",
-    author = "Reimers, Nils and Gurevych, Iryna",
-    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
-    month = "11",
-    year = "2019",
-    publisher = "Association for Computational Linguistics",
-    url = "https://arxiv.org/abs/1908.10084",
-}
-```
-
-#### MatryoshkaLoss
-```bibtex
-@misc{kusupati2024matryoshka,
-    title={Matryoshka Representation Learning}, 
-    author={Aditya Kusupati and Gantavya Bhatt and Aniket Rege and Matthew Wallingford and Aditya Sinha and Vivek Ramanujan and William Howard-Snyder and Kaifeng Chen and Sham Kakade and Prateek Jain and Ali Farhadi},
-    year={2024},
-    eprint={2205.13147},
-    archivePrefix={arXiv},
-    primaryClass={cs.LG}
-}
-```
-
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-## Glossary
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-## Model Card Authors
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+- To [Meta](https://huggingface.co/facebook) for XNLI which is used in variations