Evaluating commonsense in pre-trained language models X Zhou, Y Zhang, L Cui, D Huang Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 9733-9740, 2020 | 182 | 2020 |
LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning J Liu, L Cui, H Liu, D Huang, Y Wang, Y Zhang IJCAI, 2020 | 156 | 2020 |
What Have We Achieved on Text Summarization? D Huang, L Cui, S Yang, G Bao, K Wang, J Xie, Y Zhang EMNLP, 2020 | 92 | 2020 |
Brain Decoding Using fNIRS L Cao, D Huang, Y Zhang, X Jiang, Y Chen Proceedings of the AAAI Conference on Artificial Intelligence 35 (14), 12602 …, 2021 | 12 | 2021 |
A Comparison between Pre-training and Large-scale Back-translation for Neural Machine Translation D Huang, K Wang, Y Zhang Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 6 | 2021 |
Investigating Rich Feature Sources for Conceptual Representation Encoding L Cao, Y Chen, D Huang, Y Zhang Proceedings of the Workshop on the Cognitive Aspects of the Lexicon, 12-22, 2020 | 2 | 2020 |
An eye tracking study of line spacing effects on reading Simplified Chinese D Huang | 1 | 2017 |
When Computational Representation Meets Neuroscience: A Survey on Brain Encoding and Decoding. L Cao, D Huang, Y Zhang IJCAI, 4339-4347, 2021 | | 2021 |