Update README.md

README.md

@@ -18,7 +18,7 @@ This model is released as a **base model**, intended for further fine-tuning or
 
 ## Training Data
 
-To train language-specific base LLMs, we followed the methodology proposed by Etxaniz et al. (2024), originally developed for Basque, and extended it to other low-resource languages. To enable fair comparisons across languages, we limited the corpus size for each language to roughly the same number of tokens. We also included a small English subset to mitigate catastrophic forgetting.
+To train language-specific base LLMs, we followed the methodology proposed by [Etxaniz et al. (2024)](https://aclanthology.org/2024.acl-long.799/), originally developed for Basque, and extended it to other low-resource languages. To enable fair comparisons across languages, we limited the corpus size for each language to roughly the same number of tokens. We also included a small English subset to mitigate catastrophic forgetting.
 
 ### Corpus composition