RULE: Reliable Multimodal RAG for Factuality in Medical Vision Language Models. - Peng Xia 005; Kangyu Zhu; Haoran Li 011; Hongtu Zhu; Yun Li 010; Gang Li; Linjun Zhang; Huaxiu Yao (EMNLP, 2024)

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)

MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization. - Kangyu Zhu; Peng Xia 005; Yun Li 010; Hongtu Zhu; Sheng Wang; Huaxiu Yao (CoRR, 2024)

MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models. - Peng Xia 005; Kangyu Zhu; Haoran Li 011; Tianze Wang; Weijia Shi; Sheng Wang; Linjun Zhang; James Zou 001; Huaxiu Yao (ICLR, 2025)

Guiding Medical Vision-Language Models with Diverse Visual Prompts: Framework Design and Comprehensive Exploration of Prompt Variations. - Kangyu Zhu; Ziyuan Qin 001; Huahui Yi; Zekun Jiang; Qicheng Lao; Shaoting Zhang 001; Kang Li 004 (NAACL (Long Papers), 2025)

Guiding Medical Vision-Language Models with Explicit Visual Prompts: Framework Design and Comprehensive Exploration of Prompt Variations. - Kangyu Zhu; Ziyuan Qin 001; Huahui Yi; Zekun Jiang; Qicheng Lao; Shaoting Zhang 001; Kang Li 004 (CoRR, 2025)