Add library_name, pipeline_tag and link to paper/code

README.md

@@ -1,18 +1,24 @@
 ---
-license: apache-2.0
+base_model:
+- google-t5/t5-base
 datasets:
 - AL-GR/AL-GR-v1
 language:
 - zh
+license: apache-2.0
 metrics:
 - accuracy
-base_model:
-- google-t5/t5-base
+library_name: transformers
+pipeline_tag: text-generation
 ---
 
 # Forge-T5-Base-s1
 
-This model is initialized from the pre-trained [`google-t5/t5-base`](https://huggingface.co/google-t5/t5-base) and fine-tuned on the **AL-GR/AL-GR-v1** dataset using the [FORGE](https://github.com/AL-GR/FORGE) framework for **4 training epochs**.
+This model is initialized from the pre-trained [`google-t5/t5-base`](https://huggingface.co/google-t5/t5-base) and fine-tuned on the **AL-GR/AL-GR-v1** dataset using the [FORGE](https://github.com/selous123/al_sid) framework for **4 training epochs**.
+
+More details can be found in the paper [FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets](https://huggingface.co/papers/2509.20904).
+
+Official Code: [GitHub Repository](https://github.com/selous123/al_sid)
 
 ## Evaluation Results on AL-GR/AL-GR-v1
 
@@ -58,4 +64,17 @@ After downloading, update the configuration file used by the FORGE framework. Sp
 
 ---
 
-For more details about the training setup, dataset, or evaluation protocol, please refer to the [FORGE framework repository](https://github.com/AL-GR/FORGE).
+For more details about the training setup, dataset, or evaluation protocol, please refer to the [FORGE framework repository](https://github.com/selous123/al_sid).
+
+## Citation
+
+If you find this work helpful, please cite the following paper:
+
+```bibtex
+@article{fu2025forge,
+  title={FORGE: Forming Semantic Identifiers for Generative Retrieval in Industrial Datasets},
+  author={Fu, Kairui and Zhang, Tao and Xiao, Shuwen and Wang, Ziyang and Zhang, Xinming and Zhang, Chenchi and Yan, Yuliang and Zheng, Junjun and others},
+  journal={arXiv preprint arXiv:2509.20904},
+  year={2025}
+}
+```