Rui Hu

According to our database, Rui Hu authored at least 10 papers between 2023 and 2025.

Collaborative distances:

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

2025

Look before Transcription: End-to-End SlideASR with Visually-Anchored Policy Optimization.

Rui Hu, Delai Qiu, Yining Wang, Shengping Liu, Jitao Sang

CoRR, October, 2025

Debiased Prompt Tuning in Vision-Language Model without Annotations.

Chaoquan Jiang, Yunfan Yang, Rui Hu, Jitao Sang

CoRR, March, 2025

Prescribing the right remedy: Mitigating hallucinations in large vision-language models via targeted instruction tuning.

Rui Hu, Yahan Tu, Shuyu Wei, Dongyuan Lu, Jitao Sang

Inf. Sci., 2025

Debiased Prompt Tuning for Vision-Language Models without Annotations.

Chaoquan Jiang, Yunfan Yang, Rui Hu, Jitao Sang

Proceedings of the International Joint Conference on Neural Networks, 2025

ODE: Open-Set Evaluation of Hallucinations in Multimodal Large Language Models.

Yahan Tu, Rui Hu, Jitao Sang

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

Investigating and Enhancing Vision-Audio Capability in Omnimodal Large Language Models.

Rui Hu, Delai Qiu, Shuyu Wei, Jiaming Zhang, Yining Wang, Shengping Liu, Jitao Sang

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Prescribing the Right Remedy: Mitigating Hallucinations in Large Vision-Language Models via Targeted Instruction Tuning.

Rui Hu, Yahan Tu, Jitao Sang

CoRR, 2024

Poisoning for Debiasing: Fair Recognition via Eliminating Bias Uncovered in Data Poisoning.

Yi Zhang, Zhefeng Wang, Rui Hu, Xinyu Duan, Yi Zheng, Baoxing Huai, Jiarun Han, Jitao Sang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023

Language-assisted Vision Model Debugger: A Sample-Free Approach to Finding Bugs.

Chaoquan Jiang, Jinqiang Wang, Rui Hu, Jitao Sang

CoRR, 2023

Echoes: Unsupervised Debiasing via Pseudo-bias Labeling in an Echo Chamber.

Rui Hu, Yahan Tu, Jitao Sang

Proceedings of the 31st ACM International Conference on Multimedia, 2023