Yuetian Du — accepted AI-conference papers

2026

Linking Perception, Confidence and Accuracy in MLLMs

Yuetian Du, Yucheng Wang, Rongyu Zhang, Zhijie Xu, Boyu Yang, Ming Kong +2

CVPR 2026

Recent advances in Multi-modal Large Language Models (MLLMs) have predominantly focused on enhancing visual \perception to improve \accuracy. However, a critical question remains unexplored: Do models know when they do not know? Through a probing experiment, we reveal a severe \confidence miscalibra

Cited by 0 Source ↗code ↗Scholar ↗

2025

MoLE:Decoding by Mixture of Layer Experts Alleviates Hallucination in Large Vision-Language Models

Tian Liang, Yuetian Du, Jing Huang, Ming Kong, Luyuan Chen, Yadong Li +2

AAAI 2025technical

Recent advancements in Large Vision-Language Models (LVLMs) highlight their ability to integrate and process multi-modal information. However, hallucinations—where generated content is inconsistent with input vision and instructions—remain a challenge. In this paper, we analyze LVLMs' layer-wise dec…

Cited by 0 Source ↗PDF ↗code ↗Scholar ↗