Enhance model card: Add `transformers` library, `text-to-image` pipeline tag, paper, GitHub, and project links

README.md

@@ -1,18 +1,29 @@
 ---
-license: apache-2.0
+base_model:
+- ByteDance-Seed/BAGEL-7B-MoT
 datasets:
 - jackyhate/text-to-image-2M
 language:
 - en
 - zh
-base_model:
-- ByteDance-Seed/BAGEL-7B-MoT
-pipeline_tag: any-to-any
+license: apache-2.0
+pipeline_tag: text-to-image
+library_name: transformers
 ---
+
 # BAGEL-RecA
 
 > A self-supervised training framework that aligns understanding and generation in modest compute, with huge **zero-shot** gain on generation and editing capability.
 
+## Paper
+[Reconstruction Alignment Improves Unified Multimodal Models](https://huggingface.co/papers/2509.07295)
+
+## Project Page
+https://reconstruction-alignment.github.io/
+
+## Code
+https://github.com/HorizonWind2004/reconstruction-alignment
+
 This repository hosts the model weights for **BAGEL-RecA**. We fine-tuned BAGEL on 6 80GB NVIDIA A800 for only 27 GPU hours. While the understanding capability remains unchanged, our ReAlign method brings +3.6 **zero-shot improvement** on GenEval , +1.26 on DPGBench, +0.37 on ImgEdit and +0.33 on GEdit.
 
 For installation, usage instructions, and further documentation, please visit BAGEL's original [GitHub repository](https://github.com/bytedance-seed/BAGEL).
@@ -65,4 +76,14 @@ If you find our work inspiring or use our codebase in your research, please cons
       archivePrefix={arXiv},
       primaryClass={cs.CV},
       url={https://arxiv.org/abs/2509.07295}, 
-}
+}
+
+---
+
+<div align="center">
+  
+  ⭐ **If you find this project helpful, please consider giving it a star!** ⭐
+  
+  [![Star History Chart](https://api.star-history.com/svg?repos=HorizonWind2004/reconstruction-alignment&type=Date)](https://www.star-history.com/#HorizonWind2004/reconstruction-alignment&Date)
+
+</div>