Seeing and Understanding: Bridging Vision with Chemical Knowledge Via ChemVLM
Paper
• 2408.07246 • Published
• 22
Datasets:
Search is not available for this dataset
image imagewidth (px) 4 3.79k |
|---|
End of preview. Expand
in Data Studio
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}
}
[🏆AAAI2025] ChemVLM: Exploring the Power of Multimodal Large Language Models in Chemistry Area: official test set
You can find our ChemOCR and MMChemBench here. Preprint version (do not cite this): arxiv.org/abs/2408.07246
- Downloads last month
- 25
Size of downloaded dataset files:
14.2 MB
Size of the auto-converted Parquet files:
14.9 MB
Number of rows:
1,689