| Analyzing and mitigating object hallucination in large vision-language models Y Zhou*, C Cui*, J Yoon, L Zhang, Z Deng, C Finn, M Bansal, H Yao International Conference on Learning Representations (ICLR) 2024, 2023 | 100 | 2023 |
| Holistic analysis of hallucination in gpt-4v (ision): Bias and interference challenges C Cui*, Y Zhou*, X Yang, S Wu, L Zhang, J Zou, H Yao arXiv preprint arXiv:2311.03287, 2023 | 54 | 2023 |
| How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs H Tu*, C Cui*, Z Wang, Y Zhou, B Zhao, J Han, W Zhou, H Yao, C Xie European Conference on Computer Vision (ECCV) 2024, 2023 | 31 | 2023 |
| Deep multi-view subspace clustering with anchor graph C Cui, Y Ren, J Pu, X Pu, L He International Joint Conference on Artificial Intelligence (IJCAI) 2023, 2023 | 20 | 2023 |
| Aligning Modalities in Vision Large Language Models via Preference Fine-tuning Y Zhou*, C Cui*, R Rafailov, C Finn, H Yao arXiv preprint arXiv:2402.11411, 2024 | 18 | 2024 |
| A Novel Approach for Effective Multi-View Clustering with Information-Theoretic Perspective C Cui, Y Ren, J Pu, J Li, X Pu, T Wu, Y Shi, L He Conference and Workshop on Neural Information Processing Systems (NeurIPS) 2023, 2023 | 13 | 2023 |
| Calibrated self-rewarding vision language models Y Zhou, Z Fan, D Cheng, S Yang, Z Chen, C Cui, X Wang, Y Li, L Zhang, ... arXiv preprint arXiv:2405.14622, 2024 | 6 | 2024 |
| Adaptive Feature Imputation with Latent Graph for Deep Incomplete Multi-View Clustering J Pu, C Cui, X Chen, Y Ren, X Pu, Z Hao, SY Philip, L He Proceedings of the AAAI Conference on Artificial Intelligence 38 (13), 14633 …, 2024 | 3 | 2024 |
| Integrating Vision-Language Semantic Graphs in Multi-View Clustering J Ke, Z Wen, Y Yang, C Cui, Y Ren, X Pu, L He IJCAI 2024, 2024 | 1 | 2024 |
| Dual-Optimized Adaptive Graph Reconstruction for Multi-View Graph Clustering Z Wen, T Wu, Y Ren, Y Ling, C Cui, X Pu, L He ACM Multimedia 2024, 2024 | | 2024 |
| MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge? Z Chen, Y Du, Z Wen, Y Zhou, C Cui, Z Weng, H Tu, C Wang, Z Tong, ... ICML 2024 Workshop on Foundation Models in the Wild, 0 | | |
Huaxiu YaoAssistant Professor of Computer Science and Data Science, UNC Chapel HillVerified email at cs.unc.edu
