1 code implementation • 13 Feb 2024 • Yin Fang, Kangwei Liu, Ningyu Zhang, Xinle Deng, Penghui Yang, Zhuo Chen, Xiangru Tang, Mark Gerstein, Xiaohui Fan, Huajun Chen
As Large Language Models (LLMs) rapidly evolve, their influence in science is becoming increasingly prominent.
3 code implementations • 5 Feb 2024 • Yixin Ou, Ningyu Zhang, Honghao Gui, Ziwen Xu, Shuofei Qiao, Yida Xue, Runnan Fang, Kangwei Liu, Lei LI, Zhen Bi, Guozhou Zheng, Huajun Chen
In recent years, instruction tuning has gained increasing attention and emerged as a crucial technique to enhance the capabilities of Large Language Models (LLMs).
2 code implementations • 14 Aug 2023 • Peng Wang, Ningyu Zhang, Bozhong Tian, Zekun Xi, Yunzhi Yao, Ziwen Xu, Mengru Wang, Shengyu Mao, Xiaohan Wang, Siyuan Cheng, Kangwei Liu, Yuansheng Ni, Guozhou Zheng, Huajun Chen
Large Language Models (LLMs) usually suffer from knowledge cutoff or fallacy issues, which means they are unaware of unseen events or generate text with incorrect facts owing to outdated/noisy data.
1 code implementation • 13 Jun 2023 • Yin Fang, Xiaozhuan Liang, Ningyu Zhang, Kangwei Liu, Rui Huang, Zhuo Chen, Xiaohui Fan, Huajun Chen
Large Language Models (LLMs), with their remarkable task-handling capabilities and innovative outputs, have catalyzed significant advancements across a spectrum of fields.
Catalytic activity prediction Chemical-Disease Interaction Extraction +14
no code implementations • CVPR 2015 • Kangwei Liu, Junge Zhang, Peipei Yang, Kaiqi Huang
al propose the range move algorithms, which are one of the most successful solvers to this problem.
no code implementations • CVPR 2014 • Kangwei Liu, Junge Zhang, Kaiqi Huang, Tieniu Tan
The MRF energy function is derived from the deformation decomposition model.