no code implementations • 9 May 2024 • Yicheng Yang, Xinyu Wang, Haoming Yu, Zhiyuan Li
Our experiments show that the difficulty level of questions generated by our AQG approach is similar to the questions presented to students in the textbook [1].
no code implementations • 29 Sep 2023 • Alessandro R. Galloni, Yifan Yuan, Minning Zhu, Haoming Yu, Ravindra S. Bisht, Chung-Tse Michael Wu, Christine Grienberger, Shriram Ramanathan, Aaron D. Milstein
Design of hardware based on biological principles of neuronal computation and plasticity in the brain is a leading approach to realizing energy- and sample-efficient artificial intelligence and learning machines.