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  license: apache-2.0
 
 
 
 
 
 
 
 
 
 
 
 
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  license: apache-2.0
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+ task_categories:
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+ - text-to-image
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+ language:
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+ - en
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+ tags:
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+ - scientific
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+ - science
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+ - text-to-image
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+ - text-to-code
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+ pretty_name: ScImage
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+ size_categories:
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+ - 1K<n<10K
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  ---
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+
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+ The prompt for ICLR2025 paper
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+
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+ [**ScImage: HOW GOOD ARE MULTIMODAL LARGE LANGUAGE MODELS AT SCIENTIFIC TEXT-TO-IMAGE GENERATION?**](https://arxiv.org/pdf/2412.02368)
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+
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+ The prompt template and the object list will be added soon.
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+
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+ ```
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+ @inproceedings{
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+ scimage2025,
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+ title={ScImage: How Good Are Multimodal Large Language Models at Scientific Text-to-Image Generation?},
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+ author={Zhang, Leixin and Cheng, Yinjie and Zhai, Weihe and Eger, Steffen and Belouadi, Jonas and Moafian, Fahimeh and Zhao, Zhixue},
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+ booktitle={The Thirteenth International Conference on Learning Representations},
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+ year={2025},
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+ url={https://openreview.net/pdf?id=ugyqNEOjoU}
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+ }
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+ ```