Yunkai Dang

According to our database, Yunkai Dang authored at least 13 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Instinct vs. Reflection: Unifying Token and Verbalized Confidence in Multimodal Large Models.

Yunkai Dang, Yifan Jiang, Yizhu Jiang, Anqi Chen, Wenbin Li, Yang Gao

CoRR, April, 2026

UHR-BAT: Budget-Aware Token Compression Vision-Language model for Ultra-High-Resolution Remote Sensing.

Yunkai Dang, Minxin Dai, Yuekun Yang, Zhangnan Li, Wenbin Li, Feng Miao, Yang Gao

CoRR, April, 2026

CLASP: Class-Adaptive Layer Fusion and Dual-Stage Pruning for Multimodal Large Language Models.

Yunkai Dang, Yizhu Jiang, Yifan Jiang, Qi Fan, Yinghuan Shi, Wenbin Li, Yang Gao

CoRR, April, 2026

Annotation-Free Visual Reasoning for High-Resolution Large Multimodal Models via Reinforcement Learning.

Jiacheng Yang, Anqi Chen, Yunkai Dang, Qi Fan, Cong Wang, Wenbin Li, Feng Miao, Yang Gao

CoRR, February, 2026

2025

FUSE-RSVLM: Feature Fusion Vision-Language Model for Remote Sensing.

Yunkai Dang, Donghao Wang, Jiacheng Yang, Yifan Jiang, Meiyi Zhu, Yuekun Yang, Cong Wang, Qi Fan, Wenbin Li, Yang Gao

CoRR, December, 2025

A Benchmark for Ultra-High-Resolution Remote Sensing MLLMs.

Yunkai Dang, Meiyi Zhu, Donghao Wang, Yizhuo Zhang, Jiacheng Yang, Qi Fan, Yuekun Yang, Wenbin Li, Feng Miao, Yang Gao

CoRR, December, 2025

Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios.

Yunkai Dang, Mengxi Gao, Yibo Yan, Xin Zou, Yanggan Gu, Jungang Li, Jingyu Wang, Peijie Jiang, Aiwei Liu, Jia Liu, Xuming Hu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

RLAIF-V: Open-Source AI Feedback Leads to Super GPT-4V Trustworthiness.

Tianyu Yu, Haoye Zhang, Qiming Li, Qixin Xu, Yuan Yao, Da Chen, Xiaoman Lu, Ganqu Cui, Yunkai Dang, Taiwen He, Xiaocheng Feng, Jun Song, Bo Zheng, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Explainable and Interpretable Multimodal Large Language Models: A Comprehensive Survey.

Yunkai Dang, Kaichen Huang, Jiahao Huo, Yibo Yan, Sirui Huang, Dongrui Liu, Mengxi Gao, Jie Zhang, Chen Qian, Kun Wang, Yong Liu, Jing Shao, Hui Xiong, Xuming Hu

CoRR, 2024

Exploring Response Uncertainty in MLLMs: An Empirical Evaluation under Misleading Scenarios.

Yunkai Dang, Mengxi Gao, Yibo Yan, Xin Zou, Yanggan Gu, Aiwei Liu, Xuming Hu

CoRR, 2024

RLAIF-V: Aligning MLLMs through Open-Source AI Feedback for Super GPT-4V Trustworthiness.

Tianyu Yu, Haoye Zhang, Yuan Yao, Yunkai Dang, Da Chen, Xiaoman Lu, Ganqu Cui, Taiwen He, Zhiyuan Liu, Tat-Seng Chua, Maosong Sun

CoRR, 2024

2023

FILM: How can Few-Shot Image Classification Benefit from Pre-Trained Language Models?

Zihao Jiang, Yunkai Dang, Dong Pang, Huishuai Zhang, Weiran Huang

CoRR, 2023

Multi-Level Correlation Network For Few-Shot Image Classification.

Yunkai Dang, Meijun Sun, Min Zhang, Zhengyu Chen, Xinliang Zhang, Zheng Wang, Donglin Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2023