Update README.md

README.md

@@ -20,7 +20,7 @@ In this paper, we innovatively model time series as a foreign language and const
 
 As depicted in Figure 1(b), during the continuous pre-training stage, we pre-train [LLaMA-2-7B-Base](https://huggingface.co/meta-llama/Llama-2-7b-hf) on [ChengsenWang/ChatTime-1-Pretrain-1M](https://huggingface.co/datasets/ChengsenWang/ChatTime-1-Pretrain-1M), yielding [ChengsenWang/ChatTime-1-7B-Base](https://huggingface.co/ChengsenWang/ChatTime-1-7B-Base).
 
-For details on ChatTime models, training data and procedures, and experimental results, please refer to the [arXiv](https://arxiv.org/abs/0000.00000).
+For details on ChatTime models, training data and procedures, and experimental results, please refer to the [arXiv](https://arxiv.org/abs/2412.11376).
 
 ![](architecture.png)
 
@@ -36,7 +36,7 @@ The data for continuous pre-training is sourced from two extensive open-source t
 |     72      |       64       |         8         |      4       |
 |     36      |       32       |         4         |      2       |
 
-For details on pre-training dataset, please refer to the [arXiv](https://arxiv.org/abs/0000.00000).
+For details on pre-training dataset, please refer to the [arXiv](https://arxiv.org/abs/2412.11376).
 
 ## 📝 Citation