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--- |
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license: mit |
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task_categories: |
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- text-generation |
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- image-to-text |
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language: |
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- en |
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- zh |
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tags: |
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- chemistry |
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- code |
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size_categories: |
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- 10K<n<100K |
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--- |
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Using this dataset, please kindly cite: |
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``` |
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@inproceedings{li2025chemvlm, |
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title={Chemvlm: Exploring the power of multimodal large language models in chemistry area}, |
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author={Li, Junxian and Zhang, Di and Wang, Xunzhi and Hao, Zeying and Lei, Jingdi and Tan, Qian and Zhou, Cai and Liu, Wei and Yang, Yaotian and Xiong, Xinrui and others}, |
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booktitle={Proceedings of the AAAI Conference on Artificial Intelligence}, |
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volume={39}, |
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number={1}, |
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pages={415--423}, |
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year={2025} |
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} |
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``` |
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# [🏆AAAI2025] ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area: official test set |
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You can find our ChemOCR and MMChemBench here. Preprint version (do not cite this): arxiv.org/abs/2408.07246 |
