Improve model card: Add metadata (pipeline tag, library name, license, tags) and paper link

README.md

@@ -1,3 +1,13 @@
+---
+pipeline_tag: text-generation
+library_name: transformers
+license: other
+tags:
+  - qwen
+  - qwen2
+  - educational-llm
+---
+
 <div align="center">
 
 # 🌟 InnoSpark 🌟
@@ -18,6 +28,8 @@
 
 ---
 
+This model is associated with the paper [ELMES: An Automated Framework for Evaluating Large Language Models in Educational Scenarios](https://huggingface.co/papers/2507.22947).
+
 ## 📖 Project Introduction
 
 **InnoSpark** is an advanced educational large language model independently developed by Shanghai Innovation Institute and East China Normal University. It aims to explore the deep application of artificial intelligence technology in the field of education. Based on the domestic Qwen large language model with secondary pre-training, combined with subdomain fine-tuning and reinforcement learning for educational scenarios, we have launched InnoSpark-1.0.
@@ -113,7 +125,8 @@ def Innospark_stream(inputs,history):
 
     for chunk in response.iter_lines(chunk_size=1,
                                      decode_unicode=False,
-                                     delimiter=b"\n"):
+                                     delimiter=b"
+"):
         if chunk:
             string_data = chunk.decode("utf-8")
             try:
@@ -173,10 +186,10 @@ If you find our work useful, please cite our papers:
 @misc{song2025cultivatinghelpfulpersonalizedcreative,
       title={Cultivating Helpful, Personalized, and Creative AI Tutors: A Framework for Pedagogical Alignment using Reinforcement Learning}, 
       author={Siyu Song and Wentao Liu and Ye Lu and Ruohua Zhang and Tao Liu and Jinze Lv and Xinyun Wang and Aimin Zhou and Fei Tan and Bo Jiang and Hao Hao},
-      year={2025},
-      eprint={2507.20335},
-      archivePrefix={arXiv},
-      primaryClass={cs.LG},
+      year={2025},\
+      eprint={2507.20335},\
+      archivePrefix={arXiv},\
+      primaryClass={cs.LG},\
       url={https://arxiv.org/abs/2507.20335}, 
 }
 ```
@@ -185,10 +198,10 @@ If you find our work useful, please cite our papers:
 @misc{wei2025elmesautomatedframeworkevaluating,
       title={ELMES: An Automated Framework for Evaluating Large Language Models in Educational Scenarios}, 
       author={Shou'ang Wei and Xinyun Wang and Shuzhen Bi and Jian Chen and Ruijia Li and Bo Jiang and Xin Lin and Min Zhang and Yu Song and BingDong Li and Aimin Zhou and Hao Hao},
-      year={2025},
-      eprint={2507.22947},
-      archivePrefix={arXiv},
-      primaryClass={cs.CY},
+      year={2025},\
+      eprint={2507.22947},\
+      archivePrefix={arXiv},\
+      primaryClass={cs.CY},\
       url={https://arxiv.org/abs/2507.22947}, 
 }
 ```
@@ -247,4 +260,4 @@ Please refer to the relevant model pages for specific license information.
 
 <sub>🚀 Empowering Education with AI</sub>
 
-</div> 
+</div>