3 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.CV2026
Benchmarking Egocentric Clinical Intent Understanding Capability for Medical Multimodal Large Language Models
Shaonan Liu, Guo Yu, Xiaoling Luo +4
Medical Multimodal Large Language Models (Med-MLLMs) require egocentric clinical intent understanding for real-world deployment, yet existing benchmarks fail to evaluate this criti…
cs.CL2025★ 3 cited
Beyond the Leaderboard: Rethinking Medical Benchmarks for Large Language Models
Wenting Chen, Guo Yu, Yiu-Fai Cheung +5
Large language models (LLMs) show significant potential in healthcare, prompting numerous benchmarks to evaluate their capabilities. However, concerns persist regarding the reliabi…