Update README.md

README.md

@@ -158,9 +158,11 @@ embeddings = mean_pool(outputs.last_hidden_state, batch_dict['attention_mask'])
 embeddings = F.normalize(embeddings, p=2, dim=1)
 scores = (embeddings[:2] @ embeddings[2:].T)
 ```
-## ❓ Frequently Asked Questions
-
-1. sss
+### FAQs
+1. Does the model support MRL?
+The model currently does not support MRL in this release due to observed performance degradation.
+2. Why not build upon the Qwen3 series models?
+Our initial research experiments commenced prior to the release of Qwen3. To maintain our experimental consistency, we retained the original base model throughout the study. While we subsequently conducted first-stage (retrieval) training with Qwen3, the performance after 32k steps showed no significant improvement over Qwen2.5, leading to discontinuation of further development with this architecture.
 
 ### Citation
 If you find our work worth citing, please use the following citation: