| Agieval: A human-centric benchmark for evaluating foundation models W Zhong, R Cui, Y Guo, Y Liang, S Lu, Y Wang, A Saied, W Chen, ... arXiv preprint arXiv:2304.06364, 2023 | 249 | 2023 |
| Aligning large language models with human: A survey Y Wang, W Zhong, L Li, F Mi, X Zeng, W Huang, L Shang, X Jiang, Q Liu arXiv preprint arXiv:2307.12966, 2023 | 209 | 2023 |
| 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 | 168 | 2021 |
| 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 | 167 | 2019 |
| Memorybank: Enhancing large language models with long-term memory W Zhong, L Guo, Q Gao, H Ye, Y Wang Proceedings of the AAAI Conference on Artificial Intelligence 38 (17), 19724 …, 2024 | 103 | 2024 |
| 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 | 97 | 2021 |
| 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 | 80 | 2019 |
| 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 | 66 | 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 | 59 | 2020 |
| 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 | 52 | 2020 |
| 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 | 47 | 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 | 39 | 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 | 34 | 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 | 23 | 2022 |
| 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 IJCAI, 4531-4537, 2022 | 19 | 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 | 19 | 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 | 19 | 2021 |
| G-llava: Solving geometric problem with multi-modal large language model J Gao, R Pi, J Zhang, J Ye, W Zhong, Y Wang, L Hong, J Han, H Xu, Z Li, ... arXiv preprint arXiv:2312.11370, 2023 | 18 | 2023 |
| Logigan: Learning logical reasoning via adversarial pre-training X Pi, W Zhong, Y Gao, N Duan, JG Lou Advances in Neural Information Processing Systems 35, 16290-16304, 2022 | 17 | 2022 |
| Data management for large language models: A survey Z Wang, W Zhong, Y Wang, Q Zhu, F Mi, B Wang, L Shang, X Jiang, Q Liu arXiv preprint arXiv:2312.01700, 2023 | 16 | 2023 |
Nan DuanSenior Principal Research Manager, Microsoft ResearchVerified email at microsoft.com
