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Yiyang Zhou
Yiyang Zhou
Ph.D. Student, UNC Chapel Hill CS
Zweryfikowany adres z cs.unc.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
mplug-owl: Modularization empowers large language models with multimodality
Q Ye*, H Xu*, G Xu*, J Ye, M Yan, Y Zhou, J Wang, A Hu, P Shi, Y Shi, ...
arXiv preprint arXiv:2304.14178, 2023
8412023
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
ICLR 2024, 2023
2012023
Evaluation and Analysis of Hallucination in Large Vision-Language Models
J Wang*, Y Zhou*, G Xu, P Shi, C Zhao, H Xu, Q Ye, M Yan, J Zhang, ...
arXiv preprint arXiv:2308.15126, 2023
1122023
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
892023
Aligning Modalities in Vision Large Language Models via Preference Fine-tuning
Y Zhou*, C Cui*, R Rafailov, C Finn, H Yao
International Conference on Learning Representations (ICLR) 2024 R2-FM Workshop, 2024
692024
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
ECCV 2024, 2023
602023
Calibrated Self-Rewarding Vision Language Models
Y Zhou*, Z Fan*, D Cheng*, S Yang, Z Chen, C Cui, X Wang, Y Li, ...
NeurIPS 2024, 2024
322024
CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
P Xia, Z Chen, J Tian, Y Gong, R Hou, Y Xu, Z Wu, Z Fan, Y Zhou, K Zhu, ...
NeurIPS 2024, 2024
262024
Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement
X Wang, J Chen, Z Wang, Y Zhou, Y Zhou, H Yao, T Zhou, T Goldstein, ...
NAACL Findings 2025, 2024
252024
MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation?
Z Chen, Y Du, Z Wen, Y Zhou, C Cui, Z Weng, H Tu, C Wang, Z Tong, ...
arXiv preprint arXiv:2407.04842, 2024
18*2024
MCoCo: Multi-level Consistency Collaborative multi-view clustering
Y Zhou, Q Zheng, Y Wang, W Yan, P Shi, J Zhu
ESWA 238, 121976, 2024
182024
Semantically consistent multi-view representation learning
Y Zhou, Q Zheng, S Bai, J Zhu
KBS 278, 110899, 2023
152023
Multi-view semantic consistency based information bottleneck for clustering
W Yan, Y Zhou, Y Wang, Q Zheng, J Zhu
KBS 288, 111448, 2024
112024
VHELM: A Holistic Evaluation of Vision Language Models
T Lee, H Tu, CH Wong, W Zheng, Y Zhou, Y Mai, JS Roberts, M Yasunaga, ...
NeurIPS 2024, 2024
82024
Mmie: Massive multimodal interleaved comprehension benchmark for large vision-language models
P Xia, S Han, S Qiu, Y Zhou, Z Wang, W Zheng, Z Chen, C Cui, M Ding, ...
ICLR Oral 2025, 2024
72024
Contrastive label enhancement
Y Wang, Y Zhou, J Zhu, X Liu, W Yan, Z Tian
IJCAI 2023, 2023
52023
DualGenerator: Information Interaction-based Generative Network for Point Cloud Completion
P Shi, H Cheng, X Han, Y Zhou, J Zhu
RAL, 2023
42023
Overlap Bias Matching is Necessary for Point Cloud Registration
P Shi, J Zhang, H Cheng, J Wang, Y Zhou, C Zhao, J Zhu
RAL, 2023
32023
Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment
C Cui, A Zhang, Y Zhou, Z Chen, G Deng, H Yao, TS Chua
ICLR 2025, 2024
22024
ESCIRL: Evolving Self-Contrastive IRL for Trajectory Prediction in Autonomous Driving
S Wang, Z Chen, Z Zhao, C Mao, Y Zhou, J He, AS Hu
CORL Spotlight 2024, 2024
12024
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Prace 1–20