1 code implementation • 16 Apr 2024 • Mélodie Monod, Peter Krusche, Qian Cao, Berkman Sahiner, Nicholas Petrick, David Ohlssen, Thibaud Coroller
TorchSurv is a Python package that serves as a companion tool to perform deep survival modeling within the PyTorch environment.
no code implementations • 23 Dec 2023 • Chenjiao Tan, Qian Cao, Yiwei Li, Jielu Zhang, Xiao Yang, Huaqin Zhao, Zihao Wu, Zhengliang Liu, Hao Yang, Nemin Wu, Tao Tang, Xinyue Ye, Lilong Chai, Ninghao Liu, Changying Li, Lan Mu, Tianming Liu, Gengchen Mai
The advent of large language models (LLMs) has heightened interest in their potential for multimodal applications that integrate language and vision.
no code implementations • 30 Oct 2023 • Zhengliang Liu, Yiwei Li, Qian Cao, Junwen Chen, Tianze Yang, Zihao Wu, John Hale, John Gibbs, Khaled Rasheed, Ninghao Liu, Gengchen Mai, Tianming Liu
Recent advances in artificial general intelligence (AGI), particularly large language models and creative image generation systems have demonstrated impressive capabilities on diverse tasks spanning the arts and humanities.
1 code implementation • 2 Sep 2022 • Qian Cao, Xu Chen, Ruihua Song, Hao Jiang, Guang Yang, Zhao Cao
To model such human capabilities, in this paper, we define and solve a novel AI creation problem based on human experiences.
1 code implementation • EMNLP 2020 • Jun Quan, Shian Zhang, Qian Cao, Zizhong Li, Deyi Xiong
In order to alleviate the shortage of multi-domain data and to capture discourse phenomena for task-oriented dialogue modeling, we propose RiSAWOZ, a large-scale multi-domain Chinese Wizard-of-Oz dataset with Rich Semantic Annotations.
no code implementations • 25 Nov 2019 • Qian Cao, Shaohui Kuang, Deyi Xiong
In this paper, we study the problem of enabling neural machine translation (NMT) to reuse previous translations from similar examples in target prediction.
no code implementations • EMNLP 2018 • Qian Cao, Deyi Xiong
Translation memories (TM) facilitate human translators to reuse existing repetitive translation fragments.
no code implementations • 14 Dec 2017 • Steven Tilley II, Matthew Jacobson, Qian Cao, Michael Brehler, Alejandro Sisniega, Wojciech Zbijewski, J. Webster Stayman
In a simulation study, GPL-BC was able to achieve lower bias as compared to deblurring followed by FDK as well as a model-based reconstruction method without integration of measurement blur.
Medical Physics