一作ACL 2026Poster· Natural Language Processing
Benchmarking Egocentric Clinical Intent Understanding Capability for Medical Multimodal Large Language Models
Shaonan Liu · Guo Yu · Xiaoling Luo · Shiyi Zheng · Jie Liu · Wenting Chen · Linlin Shen
摘要
Medical Multimodal Large Language Models (Med-MLLMs) require egocentric clinical intent understanding for real-world deployment, yet existing benchmarks fail to evaluate this critical capability. We introduce MedGaze-Bench, the first benchmark leveraging clinician gaze as a Cognitive Cursor to as...