| Controllable multi-character psychology-oriented story generation F Xu, X Wang, Y Ma, V Tresp, Y Wang, S Zhou, H Du Proceedings of the 29th ACM International Conference on Information …, 2020 | 11 | 2020 |
| ToViLaG: Your visual-language generative model is also an evildoer X Wang, X Yi, H Jiang, S Zhou, Z Wei, X Xie arXiv preprint arXiv:2312.11523, 2023 | 6 | 2023 |
| Open-domain dialogue generation grounded with dynamic multi-form knowledge fusion F Xu, S Zhou, Y Ma, X Wang, W Zhang, Z Li International Conference on Database Systems for Advanced Applications, 101-116, 2022 | 5 | 2022 |
| On the essence and prospect: An investigation of alignment approaches for big models X Wang, S Duan, X Yi, J Yao, S Zhou, Z Wei, P Zhang, D Xu, M Sun, X Xie arXiv preprint arXiv:2403.04204, 2024 | 3 | 2024 |
| Large-scale and multi-perspective opinion summarization with diverse review subsets H Jiang, R Wang, Z Wei, Y Li, X Wang arXiv preprint arXiv:2310.13340, 2023 | 3 | 2023 |
| Apeak-CG: Automatically predicting emotion based dynamic multi-form knowledge fusion conversation generation F Xu, S Zhou, X Wang, W Zhang Neurocomputing 504, 174-186, 2022 | 3 | 2022 |
| CHAE: Fine-grained controllable story generation with characters, actions and emotions X Wang, H Jiang, Z Wei, S Zhou arXiv preprint arXiv:2210.05221, 2022 | 2 | 2022 |
| Story Generation Using Knowledge Graph under Psychological States F Xu, X Wang, S Zhou Wireless Communications and Mobile Computing 2021 (1), 5530618, 2021 | 1 | 2021 |
Yunpu MaLudwig Maximilian University of Munich, and Siemens CTVerified email at dbs.ifi.lmu.de
