Update README.md

README.md

@@ -34,9 +34,9 @@ Additionally, the model supports **Retrieval-Augmented Generation (RAG)**, which
 |---------------------------|----------------------------------------------|
 | **Maximum Sequence Length**| 512 tokens                                   |
 | **Language**               | Primarily focused on **Vietnamese** legal texts|
-| **License**                | Apache-2.0 License                           |
 | **Task**                   | Question-answering, Information extraction   |
 | **RAG Support**            | Yes                                          |
+| **LLMS Generate**            | Yes                                          |
 
 ### References
 - Zaib, Munazza and Tran, Dai Hoang and Sagar, Subhash and Mahmood, Adnan and Zhang, Wei E. and Sheng, Quan Z. (2021). BERT-CoQAC: BERT-based Conversational Question Answering in Context. In *Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*.