3 citations · 6 across the 3 of their papers we have counts for
3 papers
physics.comp-ph2023★ 1 cited
Forward Laplacian: A New Computational Framework for Neural Network-based Variational Monte Carlo
Ruichen Li, Haotian Ye, Du Jiang +8
Neural network-based variational Monte Carlo (NN-VMC) has emerged as a promising cutting-edge technique of ab initio quantum chemistry. However, the high computational cost of exis…
cs.CL2019★ 2 cited
An Empirical Study of Content Understanding in Conversational Question Answering
Ting-Rui Chiang, Hao-Tong Ye, Yun-Nung Chen
With a lot of work about context-free question answering systems, there is an emerging trend of conversational question answering models in the natural language processing field. T…
cs.CL2019★ 3 cited
Knowledge-Grounded Response Generation with Deep Attentional Latent-Variable Model
Hao-Tong Ye, Kai-Ling Lo, Shang-Yu Su +1
End-to-end dialogue generation has achieved promising results without using handcrafted features and attributes specific for each task and corpus. However, one of the fatal drawbac…