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gemini-2.5-flash-lite on dataset GEO-Bench. If you intend to use AutoGEOMini with other types of generative engines or datasets, you must post-train Qwen/Qwen3-1.7B using our code.1from autogeo.rewriters import rewrite_document
2
3rewritten_text = rewrite_document(
4 document="Input text.",
5 dataset="GEO-Bench",
6 engine_llm="gemini",
7 model_path="cx-cmu/AutoGEO_mini_Qwen1.7B_ResearchyGEO",
8)1python -m autogeo.evaluate \
2 --model autogeo_mini \
3 --model_path cx-cmu/AutoGEO_mini_Qwen1.7B_ResearchyGEO \
4 --dataset GEO-Bench1@article{wu2025generative,
2 title={What Generative Search Engines Like and How to Optimize Web Content Cooperatively},
3 author={Wu, Yujiang and Zhong, Shanshan and Kim, Yubin and Xiong, Chenyan},
4 journal={arXiv preprint arXiv:2510.11438},
5 year={2025}
6}