Chenhang Cui
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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), 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
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
arXiv preprint arXiv:2311.16101, 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
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
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
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