Upload README.md

README.md

@@ -12,13 +12,17 @@ Despite being trained on a limited set of languages, we observe in our analysis
 
 ## ✨XBridge-SFT
 
-[`XBridge-SFT`](https://huggingface.co/ICTNLP/XBridge-SFT) further extends `XBridge-base` by training stage 2 (encoder-side adaptation) and stage 3 (decoder-side adaptation) for instruction-following tasks. Notably, we directly scale to 50 languages in these stages. This design is motivated by our finding of cross-model generalization. We train on the multilingual instruction-following dataset [`Bactrian-X`](https://huggingface.co/datasets/MBZUAI/Bactrian-X), and expand to the following additional languages:
+[`XBridge-SFT`](https://huggingface.co/ICTNLP/XBridge-SFT) further extends `XBridge-base` by training stage 2 (encoder-side adaptation) and stage 3 (decoder-side adaptation) for multilingual mathematical reasoning dataset. We evaluate `XBridge-SFT` on [MGSM](https://huggingface.co/datasets/juletxara/mgsm) benchmark in our paper.
 
-> Af, Ar, Az, Cs, El, Et, Fa, Fi, Gl, Gu, He, Hi, Hr, Id, It, Ka, Kk, Km, Lt, Lv, Mk, Ml, Mn, Mr, My, Ne, Nl, Pl, Ps, Pt, Ro, Sl, Sv, Ta, Te, Tr, Uk, Ur, Vi, Xh
+See our [paper](https://arxiv.org/abs/2603.17512) and [github repository](https://github.com/ictnlp/XBridge-for-multilingual-extension) for more details!
 
-Empirically, we find that this direct scaling strategy achieves strong performance, demonstrating the robustness and generalization ability of the stage 1 alignment.
+# 🌍BayLing-MLingual
 
-See our [paper](https://arxiv.org/abs/2603.17512) for more details, and try our Gradio demo in the [github repository](https://github.com/ictnlp/XBridge)!
+XBridge serves as the research foundation of **BayLing-MLingual**. BayLing-MLingual extends XBridge from a research setting to practical multilingual question answering across 50 languages and 2500 cross-lingual pairs. **Try our BayLing-MLingual for general QA among 50 languages!**
+
+👉Code: https://github.com/BayLing-Models/BayLing-MLingual
+
+👉Model: https://huggingface.co/BayLing-Models/BayLing-MLingual
 
 # 📚Citation