no code implementations • EMNLP 2020 • Dongfang Li, Baotian Hu, Qingcai Chen, Weihua Peng, Anqi Wang
Machine reading comprehension (MRC) has achieved significant progress on the open domain in recent years, mainly due to large-scale pre-trained language models.
no code implementations • 15 Feb 2024 • Anqi Wang, Zhizhuo Yin, Yulu Hu, Yuanyuan Mao, Pan Hui
Recently, the potential of large language models (LLMs) has been widely used in assisting programming.
no code implementations • 20 Oct 2023 • Ze Gao, Xiang Li, Changkun Liu, Xian Wang, Anqi Wang, Liang Yang, Yuyang Wang, Pan Hui, Tristan Braud
We present VR PreM+, an innovative VR system designed to enhance web exploration beyond traditional computer screens.
no code implementations • 30 Apr 2023 • Anqi Wang, Jiahua Dong, Lik-Hang Lee, Jiachuan Shen, Pan Hui
This survey investigates the latest approaches to 3D object generation with deep generative models (DGMs) and summarizes four characteristics of deep-learning generation approaches for virtual architecture.
no code implementations • 26 Jan 2022 • Xiaoqing Luo, Yuting Jiang, Anqi Wang, Zhancheng Zhang, Xiao-Jun Wu
The traditional two-state hidden Markov model divides the high frequency coefficients only into two states (large and small states).
1 code implementation • 30 Nov 2021 • Sen Wang, Hengchao Wang, Fan Jiang, Anqi Wang, Hangwei Liu, Hanbo Zhao, Boyuan Yang, Dong Xu, Yan Zhang, Wei Fan
As the Hi-C links of two adjacent contigs concentrate only at the neighbor ends of the contigs, larger contig size will reduce the power to differentiate adjacent (signal) and non-adjacent (noise) contig linkages, leading to a higher rate of mis-assembly.
no code implementations • 4 Mar 2021 • Anqi Wang, Zhonghua Liu
Mendelian randomization (MR) is a statistical method exploiting genetic variants as instrumental variables to estimate the causal effect of modifiable risk factors on an outcome of interest.
Methodology