activity
20242026
most citedBeyond the Leaderboard: Rethinking Medical Benchmarks for Large Language Models

3 citations · 3 across the 2 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Prior-Anchored Debiasing for Long-Tailed Multi-Organ Pathology Report Generation

Feng Yang, Jie Liu, Yubo Pang +5

Automated pathology report generation from Whole Slide Images (WSIs) has attracted increasing attention in digital pathology. However, existing methods are predominantly developed…

cs.CL20263 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…

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

Medchain: Bridging the Gap Between LLM Agents and Clinical Practice with Interactive Sequence

Jie Liu, Wenxuan Wang, Zizhan Ma +7

Clinical decision making (CDM) is a complex, dynamic process crucial to healthcare delivery, yet it remains a significant challenge for artificial intelligence systems. While Large…

cs.CL2025

Medical Reasoning in the Era of LLMs: A Systematic Review of Enhancement Techniques and Applications

Wenxuan Wang, Zizhan Ma, Meidan Ding +8

The proliferation of Large Language Models (LLMs) in medicine has enabled impressive capabilities, yet a critical gap remains in their ability to perform systematic, transparent, a…

cs.CV2024

DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching

Xiaofei Huang, Wenting Chen, Jie Liu +3

Medical report generation is crucial for clinical diagnosis and patient management, summarizing diagnoses and recommendations based on medical imaging. However, existing work often…