KALE-LM: Unleash The Power Of AI For Science Via Knowledge And Logic Enhanced Large Model
Weichen Dai
Yezeng Chen
Zijie Dai
Zhijie Huang
Y. Liu
Yixuan Pan
Baiyang Song
Chengli Zhong
Xinhe Li
Zeyu Wang
Zhuoying Feng
Yi Zhou

Abstract
Artificial intelligence is gradually demonstrating its immense potential, and increasing attention is being given to how AI can be harnessed to advance scientific research. In this vision paper, we present our perspectives on how AI can better assist scientific inquiry and explore corresponding technical approach. We have proposed and open-sourced two large models of our KALE-LM model series, KALE-LM-Chem(-1.5), which have achieved outstanding performance in tasks related to the field of chemistry. We hope that our work serves as a strong starting point, helping to realize more intelligent AI and promoting the advancement of human science and technology, as well as societal development.
View on arXiv@article{dai2025_2409.18695, title={ KALE-LM: Unleash The Power Of AI For Science Via Knowledge And Logic Enhanced Large Model }, author={ Weichen Dai and Yezeng Chen and Zijie Dai and Yubo Liu and Zhijie Huang and Yixuan Pan and Baiyang Song and Chengli Zhong and Xinhe Li and Zeyu Wang and Zhuoying Feng and Yi Zhou }, journal={arXiv preprint arXiv:2409.18695}, year={ 2025 } }
Comments on this paper