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# AutoGEO<sub>Mini</sub> (Qwen1.7B, GEO-Bench)
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AutoGEO<sub>Mini</sub> (Qwen1.7B, GEO-Bench)
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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**.
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This model is part of the **AutoGEO** framework proposed in the paper
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📄 **Paper:** ["What Generative Search Engines Like and How to Optimize Web Content Cooperatively"](https://arxiv.org/abs/2510.11438)
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# AutoGEO<sub>Mini</sub> (Qwen1.7B, GEO-Bench)
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AutoGEO<sub>Mini</sub> (Qwen1.7B, GEO-Bench) is a GEO model designed to improve how web document is incorporated into answers generated by **LLM-based generative engines**.
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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**.
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⚠️ This model is trained for the generative engine powered by `gemini-2.5-flash-lite` on dataset `GEO-Bench`. 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).
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This model is part of the **AutoGEO** framework proposed in the paper
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📄 **Paper:** ["What Generative Search Engines Like and How to Optimize Web Content Cooperatively"](https://arxiv.org/abs/2510.11438)
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