Uncovering the disentanglement capability in text-to-image diffusion models Q Wu, Y Liu, H Zhao, A Kale, T Bui, T Yu, Z Lin, Y Zhang, S Chang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 48 | 2023 |
POLITICS: pretraining with same-story article comparison for ideology prediction and stance detection Y Liu, XF Zhang, D Wegsman, N Beauchamp, L Wang arXiv preprint arXiv:2205.00619, 2022 | 40 | 2022 |
Harnessing the spatial-temporal attention of diffusion models for high-fidelity text-to-image synthesis Q Wu, Y Liu, H Zhao, T Bui, Z Lin, Y Zhang, S Chang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 18 | 2023 |
Audrey: A personalized open-domain conversational bot CH Hong, Y Liang, SS Roy, A Jain, V Agarwal, R Draves, Z Zhou, W Chen, ... arXiv preprint arXiv:2011.05910, 2020 | 8 | 2020 |
Decomposing uncertainty for large language models through input clarification ensembling B Hou, Y Liu, K Qian, J Andreas, S Chang, Y Zhang arXiv preprint arXiv:2311.08718, 2023 | 6 | 2023 |
Improving Mental Health Classifier Generalization with Pre-diagnosis Data Y Liu, L Biester, R Mihalcea Proceedings of the International AAAI Conference on Web and Social Media 17 …, 2023 | 2 | 2023 |
All things considered: Detecting partisan events from news media with cross-article comparison Y Liu, XF Zhang, K Zou, R Huang, N Beauchamp, L Wang arXiv preprint arXiv:2310.18827, 2023 | 1 | 2023 |
Augment before You Try: Knowledge-Enhanced Table Question Answering via Table Expansion Y Liu, J Ji, T Yu, R Rossi, S Kim, H Zhao, R Sinha, Y Zhang, S Chang arXiv preprint arXiv:2401.15555, 2024 | | 2024 |
Correcting Diffusion Generation through Resampling Y Liu, Y Zhang, T Jaakkola, S Chang arXiv preprint arXiv:2312.06038, 2023 | | 2023 |