| Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models Y Zhang, Y Li, L Cui, D Cai, L Liu, T Fu, X Huang, E Zhao, Y Zhang, ... Computational Linguistics, 2023 | 1823* | 2023 |
| Event extraction as machine reading comprehension J Liu, Y Chen, K Liu, W Bi, X Liu Proceedings of the 2020 conference on empirical methods in natural language …, 2020 | 405 | 2020 |
| Efficient Training of Visual Transformers with Small-Size Datasets Y Liu, E Sangineto, W Bi, N Sebe, B Lepri, M De Nadai NeurIPS 2021, 2021 | 317* | 2021 |
| Multi-label classification on tree-and dag-structured hierarchies W Bi, JT Kwok Proceedings of the 28th International Conference on Machine Learning (ICML …, 2011 | 265 | 2011 |
| Efficient Multi-label Classification with Many Labels W Bi, JT Kwok Proceedings of the 30th International Conference on Machine Learning (ICML …, 2013 | 254 | 2013 |
| Mage: Machine-generated text detection in the wild Y Li, Q Li, L Cui, W Bi, Z Wang, L Wang, L Yang, S Shi, Y Zhang ACL2024, 2024 | 208* | 2024 |
| Knowledge fusion of large language models F Wan, X Huang, D Cai, X Quan, W Bi, S Shi ICLR2024, 2024 | 206 | 2024 |
| Large-scale Nyström kernel matrix approximation using randomized SVD M Li, W Bi, JT Kwok, BL Lu IEEE transactions on neural networks and learning systems 26 (1), 152-164, 2014 | 155 | 2014 |
| GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers Q Li, L Cui, X Zhao, L Kong, W Bi ACL2024, 2024 | 141* | 2024 |
| Scaling Diffusion Language Models via Adaptation from Autoregressive Models S Gong, S Agarwal, Y Zhang, J Ye, L Zheng, M Li, C An, P Zhao, W Bi, ... ICLR2025, 2024 | 134* | 2024 |
| Tablegpt: Few-shot table-to-text generation with table structure reconstruction and content matching H Gong, Y Sun, X Feng, B Qin, W Bi, X Liu, T Liu Proceedings of the 28th International Conference on Computational …, 2020 | 124 | 2020 |
| Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation Z Wu, L Kong, W Bi, X Li, B Kao ACL2021, 2021 | 120* | 2021 |
| Multilabel Classification with Label Correlations and Missing Labels W Bi, JT Kwok Twenty-Eighth Conference on Artificial Intelligence, 2014 | 113 | 2014 |
| Retrieval-guided dialogue response generation via a matching-to-generation framework D Cai, Y Wang, W Bi, Z Tu, X Liu, S Shi Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 100 | 2019 |
| Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory D Cai, Y Wang, V Bi, Z Tu, X Liu, W Lam, S Shi NAACL2019, 2018 | 100 | 2018 |
| A batch normalized inference network keeps the kl vanishing away Q Zhu, J Su, W Bi, X Liu, X Ma, X Li, D Wu ACL2020, 2020 | 88 | 2020 |
| Alleviating Hallucinations of Large Language Models through Induced Hallucinations Y Zhang, L Cui, W Bi, S Shi NAACL2025Findings, 2023 | 85 | 2023 |
| Learning to Predict from Crowdsourced Data W Bi, L Wang, JT Kwok, Z Tu Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014 | 83 | 2014 |
| Improving knowledge-aware dialogue generation via knowledge base question answering J Wang, J Liu, W Bi, X Liu, K He, R Xu, M Yang Proceedings of the AAAI conference on artificial intelligence 34 (05), 9169-9176, 2020 | 69 | 2020 |
| Generating multiple diverse responses for short-text conversation J Gao, W Bi, X Liu, J Li, S Shi Proceedings of the AAAI Conference on Artificial Intelligence 33, 6383-6390, 2019 | 64 | 2019 |
Shuming ShiTencent AI LabVerified email at tencent.com
