no code implementations • 8 Mar 2024 • Yiding Liu, Jingjing Wang, Jiamin Luo, Tao Zeng, Guodong Zhou
Specifically, this TSA treats the ACR task as an auxiliary task to boost the performance of the primary ASU task, and further integrates trusted learning into reflexion mechanisms to alleviate the LLMs-intrinsic factual hallucination problem in TSA.
3 code implementations • 8 Jul 2021 • Bo Liu, Chaowei Tan, Jiazhou Wang, Tao Zeng, Huasong Shan, Houpu Yao, Heng Huang, Peng Dai, Liefeng Bo, Yanqing Chen
We use this platform to demonstrate our research and development results on privacy preserving machine learning algorithms.
no code implementations • 26 May 2021 • Shuangjia Zheng, Tao Zeng, Chengtao Li, Binghong Chen, Connor W. Coley, Yuedong Yang, Ruibo Wu
Nature, a synthetic master, creates more than 300, 000 natural products (NPs) which are the major constituents of FDA-proved drugs owing to the vast chemical space of NPs.
2 code implementations • 4 Jan 2021 • Le Fang, Tao Zeng, Chaochun Liu, Liefeng Bo, Wen Dong, Changyou Chen
In this paper, we advocate to revive latent variable modeling, essentially the power of representation learning, in the era of Transformers to enhance controllability without hurting state-of-the-art generation effectiveness.
1 code implementation • 4 Jan 2021 • Le Fang, Tao Zeng, Chaochun Liu, Liefeng Bo, Wen Dong, Changyou Chen
Our paper is among the first ones by our knowledge to propose a model and to create datasets for the task of "outline to story".
1 code implementation • 31 May 2020 • Hong Yu, Li Li, Hsin-hui Huang, Yang Wang, Yingtong Liu, Edison Ong, Anthony Huffman, Tao Zeng, Jingsong Zhang, Pengpai Li, Zhiping Liu, Xiangyan Zhang, Xianwei Ye, Samuel K. Handelman, Gerry Higgins, Gilbert S. Omenn, Brian Athey, Junguk Hur, Luonan Chen, Yongqun He
We hypothesized that ontology can be used as an integrative platform to classify and analyze HCI and disease outcomes.
Other Quantitative Biology
no code implementations • 19 Apr 2018 • Yu Li, Hu Wang, Kangjia Mo, Tao Zeng
In such a framework, a reconstruction neural network (ReConNN) model designed for simulation-based physical field's reconstruction is proposed.