Seeing and Understanding: Bridging Vision with Chemical Knowledge Via ChemVLM
Paper • 2408.07246 • Published • 22
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Using this dataset, please kindly cite:
@inproceedings{li2025chemvlm,
title={Chemvlm: Exploring the power of multimodal large language models in chemistry area},
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},
booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
volume={39},
number={1},
pages={415--423},
year={2025}
}
You can find our ChemOCR and MMChemBench here. Preprint version (do not cite this): arxiv.org/abs/2408.07246