1 code implementation • 15 Aug 2023 • Chaoran Cui, Hebo Ma, Chen Zhang, Chunyun Zhang, Yumo Yao, Meng Chen, Yuling Ma
Existing models tend to memorize the answer bias as a shortcut for achieving high prediction performance in KT, thereby failing to fully understand students' knowledge states.
1 code implementation • 23 Nov 2022 • Chaoran Cui, Yumo Yao, Chunyun Zhang, Hebo Ma, Yuling Ma, Zhaochun Ren, Chen Zhang, James Ko
Knowledge tracing aims to trace students' evolving knowledge states by predicting their future performance on concept-related exercises.
no code implementations • 26 Apr 2022 • Xuefeng Li, Hao Lei, LiWen Wang, Guanting Dong, Jinzheng Zhao, Jiachi Liu, Weiran Xu, Chunyun Zhang
In this paper, we propose a robust contrastive alignment method to align text classification features of various domains in the same feature space by supervised contrastive learning.
1 code implementation • 22 Jul 2021 • Chaoran Cui, Xiaojie Li, Juan Du, Chunyun Zhang, Xiushan Nie, Meng Wang, Yilong Yin
Extensive experiments on real-world data demonstrate the effectiveness of our approach.
no code implementations • 31 May 2021 • Tianyang Xu, Chunyun Zhang
However, these models have three drawbacks: their grasp of the details of the original text is often inaccurate, and the text generated by such models often has repetitions, while it is difficult to handle words that are beyond the word list.
Abstractive Text Summarization Generative Adversarial Network
2 code implementations • 8 Jan 2020 • Pengda Qin, Xin Wang, Wenhu Chen, Chunyun Zhang, Weiran Xu, William Yang Wang
Large-scale knowledge graphs (KGs) are shown to become more important in current information systems.