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Model: cx-cmu/AutoGEO_mini_Qwen1.7B_Ecommerce
Source: Original Platform

README.md

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+---
+license: mit
+language:
+- en
+tags:
+- text-rewriting
+- web
+- generative-engine-optimization
+- geo
+- reinforcement-learning
+- grpo
+- qwen3
+- transformers
+- safetensors
+library_name: transformers
+pipeline_tag: text-generation
+base_model: Qwen/Qwen3-1.7B
+datasets:
+- cx-cmu/E-commerce
+---
+# AutoGEO<sub>Mini</sub> (Qwen1.7B, E-commerce)
+
+AutoGEO<sub>Mini</sub> (Qwen1.7B, E-commerce) is a GEO model designed to improve how web document is incorporated into answers generated by **LLM-based generative engines**. 
+
+The model rewrites a given document to better match the preferences of generative engines (e.g., GPT, Gemini, Claude), with the goal of increasing the document’s **visibility and coverage** in generated responses, while **preserving the original meaning and factual content**.
+
+⚠️ This model is trained for the generative engine powered by `gemini-2.5-flash-lite` on dataset `E-commerce`. If you intend to use AutoGEO<sub>Mini</sub> with other types of generative engines or datasets, you must post-train `Qwen/Qwen3-1.7B` using [our code](https://github.com/cxcscmu/AutoGEO).
+
+This model is part of the **AutoGEO** framework proposed in the paper
+
+📄 **Paper:** ["What Generative Search Engines Like and How to Optimize Web Content Cooperatively"](https://arxiv.org/abs/2510.11438)  
+👥 **Authors:** Yujiang Wu*, Shanshan Zhong*, Yubin Kim, Chenyan Xiong (*Equal contribution)  
+🚀 **Code:** [AutoGEO on GitHub](https://github.com/cxcscmu/AutoGEO)  
+
+## Usage
+
+This model is designed to be used through the [**AutoGEO framework**](https://github.com/cxcscmu/AutoGEO). Try it out in [huggingface Space](https://huggingface.co/spaces/cx-cmu/AutoGEO_Mini) or
+
+Quick starts:
+
+```python
+from autogeo.rewriters import rewrite_document
+
+rewritten_text = rewrite_document(
+    document="Input text.",
+    dataset="E-commerce",
+    engine_llm="gemini",
+    model_path="cx-cmu/AutoGEO_mini_Qwen1.7B_ResearchyGEO",
+)
+```
+
+Evaluation:
+
+```bash
+python -m autogeo.evaluate \
+  --model autogeo_mini \
+  --model_path cx-cmu/AutoGEO_mini_Qwen1.7B_ResearchyGEO \
+  --dataset E-commerce
+```
+
+
+
+## Related Resources
+
+* **Paper:** [https://arxiv.org/abs/2510.11438](https://arxiv.org/abs/2510.11438)
+* **Code:** [https://github.com/cxcscmu/AutoGEO](https://github.com/cxcscmu/AutoGEO)
+* **Dataset:** [https://huggingface.co/datasets/cx-cmu/E-commerce](https://huggingface.co/datasets/cx-cmu/E-commerce)
+
+## Citation
+
+If you use this model, please cite:
+
+```bibtex
+@article{wu2025generative,
+  title={What Generative Search Engines Like and How to Optimize Web Content Cooperatively},
+  author={Wu, Yujiang and Zhong, Shanshan and Kim, Yubin and Xiong, Chenyan},
+  journal={arXiv preprint arXiv:2510.11438},
+  year={2025}
+}
+```