Update EvaHan.md

2024/EvaHan.md

@@ -121,7 +121,7 @@ Each team will initially have access only to the training data. Later, the unlab
 
 ## Two Modalities
 
-Each participant can submit runs following two modalities. In the closed modality, the resources each team could use are limited. Each team can only use the Training data Text_Train, and the pretrained model XunziALLM. It is word embeddings pretrained on a very large corpus of traditional Chinese collection. Other resources are not allowed in the closed modality.
+Each participant can submit runs following two modalities. In the closed modality, the resources each team could use are limited. Each team can only use the Training data Text_Train, and the pretrained model XunziALLM, which is a large language base model for ancient Chinese processing. Other resources are not allowed in the closed modality.
 
 In the open modality, there is no limit on the resources, data and models. Annotated external data, such as the components or Pinyin of the Chinese characters, word embeddings can be employed. But each team has to state all the resources, data and models they use in each system in the final report.