no code implementations • 17 Feb 2024 • Jian Wu, Linyi Yang, Yuliang Ji, Wenhao Huang, Börje F. Karlsson, Manabu Okumura
Multi-hop QA (MHQA) involves step-by-step reasoning to answer complex questions and find multiple relevant supporting facts.
no code implementations • 5 Jun 2022 • Difeng Cai, Yuliang Ji, Huan He, Qiang Ye, Yuanzhe Xi
AUTM offers a versatile and efficient way to the design of normalizing flows with explicit inverse and unrestricted function classes or parameters.
1 code implementation • 23 Jan 2021 • Yuliang Ji, Ru Huang, Jie Chen, Yuanzhe Xi
Deep generative models, since their inception, have become increasingly more capable of generating novel and perceptually realistic signals (e. g., images and sound waves).