CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models. - Peng Xia 005; Ze Chen; Juanxi Tian; Yangrui Gong; Ruibo Hou; Yue Xu; Zhenbang Wu; Zhiyuan Fan; Yiyang Zhou; Kangyu Zhu; Wenhao Zheng; Zhaoyang Wang 004; et al. (NeurIPS, 2024)

Towards Analyzing and Mitigating Sycophancy in Large Vision-Language Models. - Yunpu Zhao; Rui Zhang 040; Junbin Xiao; Changxin Ke; Ruibo Hou; Yifan Hao 001; Qi Guo 001; Yunji Chen (CoRR, 2024)

High-Quality Data Augmentation for Low-Resource NMT: Combining a Translation Memory, a GAN Generator, and Filtering. - Hengjie Liu; Ruibo Hou; Yves Lepage (CoRR, 2024)

Enhancing Depression Detection with Chain-of-Thought Prompting: From Emotion to Reasoning Using Large Language Models. - Shiyu Teng; Jiaqing Liu; Rahul Kumar Jain 001; Shurong Chai; Ruibo Hou; Tomoko Tateyama; Lanfen Lin; Yen-Wei Chen 001 (CoRR, 2025)

Object-Level Verbalized Confidence Calibration in Vision-Language Models via Semantic Perturbation. - Yunpu Zhao; Rui Zhang 040; Junbin Xiao; Ruibo Hou; Jiaming Guo; Zihao Zhang; Yifan Hao 001; Yunji Chen (CoRR, 2025)

TextBraTS: Text-Guided Volumetric Brain Tumor Segmentation with Innovative Dataset Development and Fusion Module Exploration. - Xiaoyu Shi; Rahul Kumar Jain 001; Yinhao Li; Ruibo Hou; Jingliang Cheng; Jie Bai; Guohua Zhao; Lanfen Lin; Rui Xu 002; Yen-Wei Chen 001 (CoRR, 2025)