Update README.md

README.md

@@ -74,8 +74,8 @@ print(generated_text)
 
 ## Evaluation
 
-We present the results on the [MGSM-JA](https://huggingface.co/datasets/juletxara/mgsm) test set that compares the performance of the our evolved LLMs compared to the source LLMs. For details on the evaluation, please refer to Section 4.1 of the paper. 
-
+We present the results on the [MGSM-JA](https://huggingface.co/datasets/juletxara/mgsm) test set that compares the performance of the our evolved LLMs compared to the source LLMs. 
+For details on the evaluation, please refer to Section 4.1 of the paper. 
 If you want to reproduce the results, please see [our Github repository](https://github.com/SakanaAI/evolutionary-model-merge).
 
 | Id. | Model | Type | Params | MGSM-JA (acc ↑ ) |
@@ -96,7 +96,7 @@ We would like to thank the developers of the source models for their contributio
 ## Citation
 
 ```bibtex
-@misc{sakana2024evofactory,
+@misc{Sakana2024EvolutionaryModelMerge,
       title         = {Evolutionary Optimization of Model Merging Recipes}, 
       author.       = {Takuya Akiba and Makoto Shing and Yujin Tang and Qi Sun and David Ha},
       year          = {2024},