update paper links in readme

README.md

@@ -17,11 +17,11 @@ GENA-LM (`gena-lm-bert-base-fly`) model is trained with a masked language model
 - 768 Hidden size
 - 32k Vocabulary size
 
-We pre-trained `gena-lm-bert-base-fly` using TODO(data). Pre-training was performed for 1,900,000 iterations with batch size 256 and sequence length was equal to 512 tokens. We modified Transformer to use [Pre-Layer normalization](https://arxiv.org/abs/2002.04745).
+We pre-trained `gena-lm-bert-base-fly` using TODO(data). Pre-training was performed for 1,900,000 iterations with batch size 256 and sequence length was equal to 512 tokens. We modified Transformer to use [Pre-Layer normalization](https://arxiv.org/abs/2002.04745). We upload checkpoint with the best MLM accuracy on validation set.
 
 Source code and data: https://github.com/AIRI-Institute/GENA_LM
 
-Paper: https://www.biorxiv.org/content/10.1101/2023.06.12.544594v1
+Paper: https://www.biorxiv.org/content/10.1101/2023.06.12.544594
 
 ## Examples
 
@@ -74,13 +74,14 @@ For evaluation results, see our paper: https://www.biorxiv.org/content/10.1101/2
 ```bibtex
 @article{GENA_LM,
 	author = {Veniamin Fishman and Yuri Kuratov and Maxim Petrov and Aleksei Shmelev and Denis Shepelin and Nikolay Chekanov and Olga Kardymon and Mikhail Burtsev},
-	title = {GENA-LM: A Family of Open-Source Foundational Models for Long DNA Sequences},
+	title = {GENA-LM: A Family of Open-Source Foundational DNA Language Models for Long Sequences},
 	elocation-id = {2023.06.12.544594},
 	year = {2023},
 	doi = {10.1101/2023.06.12.544594},
 	publisher = {Cold Spring Harbor Laboratory},
-	URL = {https://www.biorxiv.org/content/early/2023/06/13/2023.06.12.544594},
-	eprint = {https://www.biorxiv.org/content/early/2023/06/13/2023.06.12.544594.full.pdf},
+	URL = {https://www.biorxiv.org/content/early/2023/11/01/2023.06.12.544594},
+	eprint = {https://www.biorxiv.org/content/early/2023/11/01/2023.06.12.544594.full.pdf},
 	journal = {bioRxiv}
 }
+
 ```