| Reasoning over semantic-level graph for fact checking W Zhong, J Xu, D Tang, Z Xu, N Duan, M Zhou, J Wang, J Yin arXiv preprint arXiv:1909.03745, 2019 | 109 | 2019 |
| Improving question answering by commonsense-based pre-training W Zhong, D Tang, N Duan, M Zhou, J Wang, J Yin Natural Language Processing and Chinese Computing: 8th CCF International …, 2019 | 70 | 2019 |
| Compare to the knowledge: Graph neural fake news detection with external knowledge L Hu, T Yang, L Zhang, W Zhong, D Tang, C Shi, N Duan, M Zhou Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021 | 46 | 2021 |
| LogicalFactChecker: Leveraging logical operations for fact checking with graph module network W Zhong, D Tang, Z Feng, N Duan, M Zhou, M Gong, L Shou, D Jiang, ... arXiv preprint arXiv:2004.13659, 2020 | 40 | 2020 |
| Whiteningbert: An easy unsupervised sentence embedding approach J Huang, D Tang, W Zhong, S Lu, L Shou, M Gong, D Jiang, N Duan arXiv preprint arXiv:2104.01767, 2021 | 35 | 2021 |
| Syntax-enhanced pre-trained model Z Xu, D Guo, D Tang, Q Su, L Shou, M Gong, W Zhong, X Quan, N Duan, ... arXiv preprint arXiv:2012.14116, 2020 | 35 | 2020 |
| Logic-driven context extension and data augmentation for logical reasoning of text S Wang, W Zhong, D Tang, Z Wei, Z Fan, D Jiang, M Zhou, N Duan arXiv preprint arXiv:2105.03659, 2021 | 30 | 2021 |
| Neural deepfake detection with factual structure of text W Zhong, D Tang, Z Xu, R Wang, N Duan, M Zhou, J Wang, J Yin arXiv preprint arXiv:2010.07475, 2020 | 16 | 2020 |
| From lsat: The progress and challenges of complex reasoning S Wang, Z Liu, W Zhong, M Zhou, Z Wei, Z Chen, N Duan IEEE/ACM Transactions on Audio, Speech, and Language Processing 30, 2201-2216, 2022 | 7 | 2022 |
| ProQA: Structural prompt-based pre-training for unified question answering W Zhong, Y Gao, N Ding, Y Qin, Z Liu, M Zhou, J Wang, J Yin, N Duan arXiv preprint arXiv:2205.04040, 2022 | 6 | 2022 |
| Reasoning over hybrid chain for table-and-text open domain qa W Zhong, J Huang, Q Liu, M Zhou, J Wang, J Yin, N Duan arXiv preprint arXiv:2201.05880, 2022 | 6 | 2022 |
| UserAdapter: Few-shot user learning in sentiment analysis W Zhong, D Tang, J Wang, J Yin, N Duan Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 6 | 2021 |
| Ar-lsat: Investigating analytical reasoning of text W Zhong, S Wang, D Tang, Z Xu, D Guo, J Wang, J Yin, M Zhou, N Duan arXiv preprint arXiv:2104.06598, 2021 | 6 | 2021 |
| A heterogeneous graph with factual, temporal and logical knowledge for question answering over dynamic contexts W Zhong, D Tang, N Duan, M Zhou, J Wang, J Yin arXiv preprint arXiv:2004.12057, 2020 | 6 | 2020 |
| Reasoning over hybrid chain for table-and-text open domain question answering W Zhong, J Huang, Q Liu, M Zhou, J Wang, J Yin, N Duan Proceedings of the Thirty-First International Joint Conference on Artificial …, 2022 | 5 | 2022 |
| CONE: An Efficient COarse-to-fiNE Alignment Framework for Long Video Temporal Grounding Z Hou, W Zhong, L Ji, D Gao, K Yan, WK Chan, CW Ngo, Z Shou, N Duan arXiv preprint arXiv:2209.10918, 2022 | 3 | 2022 |
| Logigan: Learning logical reasoning via adversarial pre-training X Pi, W Zhong, Y Gao, N Duan, JG Lou arXiv preprint arXiv:2205.08794, 2022 | 3 | 2022 |
| Leveraging declarative knowledge in text and first-order logic for fine-grained propaganda detection R Wang, D Tang, N Duan, W Zhong, Z Wei, X Huang, D Jiang, M Zhou arXiv preprint arXiv:2004.14201, 2020 | 3 | 2020 |
| Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA J Huang, W Zhong, Q Liu, M Gong, D Jiang, N Duan arXiv preprint arXiv:2210.05197, 2022 | 2 | 2022 |
| Improving Task Generalization via Unified Schema Prompt W Zhong, Y Gao, N Ding, Z Liu, M Zhou, J Wang, J Yin, N Duan arXiv preprint arXiv:2208.03229, 2022 | 1 | 2022 |
Nan DuanSenior Principal Research Manager, Microsoft ResearchZweryfikowany adres z microsoft.com
