| 🧜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, 1-46, 2025 | 1819 | 2025 |
| PandaGPT: One Model To Instruction-Follow Them All Y Su, T Lan, H Li, J Xu, Y Wang, D Cai* arXiv preprint arXiv:2305.16355, 2023 | 432 | 2023 |
| A Survey on Retrieval-Augmented Text Generation H Li, Y Su, D Cai, Y Wang, L Liu arXiv preprint arXiv:2202.01110, 2022 | 343* | 2022 |
| Graph Transformer for Graph-to-Sequence Learning. D Cai, W Lam AAAI, 2020 | 282 | 2020 |
| Multi-Task Pre-Training for Plug-and-Play Task-Oriented Dialogue System Y Su, L Shu, E Mansimov, A Gupta, D Cai, YA Lai, Y Zhang ACL, 2021 | 229 | 2021 |
| Translating a Math Word Problem to an Expression Tree L Wang, Y Wang, D Cai, D Zhang, X Liu EMNLP, 2018 | 222 | 2018 |
| Knowledge Fusion of Large Language Models F Wan, X Huang, D Cai, X Quan, W Bi, S Shi ICLR, 2024 | 206 | 2024 |
| Neural word segmentation learning for Chinese D Cai, H Zhao ACL, 2016 | 187 | 2016 |
| AMR Parsing via Graph-Sequence Iterative Inference D Cai, W Lam ACL, 2020 | 133 | 2020 |
| Neural Machine Translation with Monolingual Translation Memory D Cai, Y Wang, H Li, W Lam, L Liu ACL, 2021 | 131 | 2021 |
| Charge-Based Prison Term Prediction with Deep Gating Network H Chen, D Cai, W Dai, Z Dai, Y Ding EMNLP, 2019 | 124 | 2019 |
| Large language models meet harry potter: A dataset for aligning dialogue agents with characters N Chen, Y Wang, H Jiang, D Cai, Y Li, Z Chen, L Wang, J Li EMNLP, 8506-8520, 2023 | 119* | 2023 |
| Skeleton-to-Response: Dialogue Generation Guided by Retrieval Memory D Cai, Y Wang, W Bi, Z Tu, X Liu, W Lam, S Shi NAACL, 2019 | 114* | 2019 |
| Recent Advances in Retrieval-Augmented Text Generation D Cai, Y Wang, L Liu, S Shi SIGIR, 2022 | 110 | 2022 |
| Fast and Accurate Neural Word Segmentation for Chinese D Cai, H Zhao, Z Zhang, Y Xin, Y Wu, F Huang EMNLP, 2017 | 107 | 2017 |
| Retrieval-guided Dialogue Response Generation via a Matching-to-Generation Framework D Cai, Y Wang, W Bi, Z Tu, X Liu, S Shi EMNLP-IJCNLP, 2019 | 100 | 2019 |
| A Thorough Examination of Decoding Methods in the Era of LLMs C Shi, H Yang, D Cai, Z Zhang, Y Wang, Y Yang, W Lam arXiv preprint arXiv:2402.06925, 2024 | 97 | 2024 |
| Learning to break the loop: Analyzing and mitigating repetitions for neural text generation J Xu, X Liu, J Yan, D Cai, H Li, J Li NeurIPS 35, 3082-3095, 2022 | 90 | 2022 |
| Describe What to Change: A Text-guided Unsupervised Image-to-Image Translation Approach Y Liu, M De Nadai, D Cai, H Li, X Alameda-Pineda, N Sebe, B Lepri ACM MM, 2020 | 78 | 2020 |
| Chartmimic: Evaluating lmm's cross-modal reasoning capability via chart-to-code generation C Yang, C Shi, Y Liu, B Shui, J Wang, M Jing, L Xu, X Zhu, S Li, Y Zhang, ... arXiv preprint arXiv:2406.09961, 2024 | 66 | 2024 |
Shuming ShiTencent AI LabVerified email at tencent.com
