Correct technical report link

README.md

@@ -41,7 +41,7 @@ This approach progressively trains from input embeddings to full parameters, eff
 Our method enhances the model's cross-linguistic applicability by carefully integrating new linguistic tokens, focusing on causal language modeling pre-training. 
 We leverage the inherent capabilities of foundational models trained on English to efficiently transfer knowledge and reasoning to Korean, optimizing the adaptation process.
 
-For detail, please refer our technical report(TBU) - [Efficient and Effective Vocabulary Expansion Towards Multilingual Large Language Models](https://arxiv.org).
+For more details, please refer to our technical report: [Efficient and Effective Vocabulary Expansion Towards Multilingual Large Language Models](https://arxiv.org/abs/2402.14714).
 
 Here’s an simplified code for our key approach: