5 papers
MedEasy: Designing AI Standardized Patients for Clinical Consultation Training
Zhiqi Gao, Huarui Luo, Guo Zhu +6
AI standardized patients are becoming a setting for professional training in clinical consultation. This paper presents MedEasy, a multi-agent system that organizes virtual-patient…
From Lossy to Verified: A Provenance-Aware Tiered Memory for Agents
Qiming Zhu, Shunian Chen, Rui Yu +2
Long-horizon agents often compress interaction histories into write-time summaries. This creates a fundamental write-before-query barrier: compression decisions are made before the…
Towards Fair and Comprehensive Evaluation of Routers in Collaborative LLM Systems
Wanxing Wu, He Zhu, Yixia Li +7
Large language models (LLMs) have achieved success, but cost and privacy constraints necessitate deploying smaller models locally while offloading complex queries to cloud-based mo…
"It Talks Like a Patient, But Feels Different": Co-Designing AI Standardized Patients with Medical Learners
Zhiqi Gao, Guo Zhu, Huarui Luo +6
Standardized patients (SPs) play a central role in clinical communication training but are costly, difficult to scale, and inconsistent. Large language model (LLM) based AI standar…
DentalGPT: Incentivizing Multimodal Complex Reasoning in Dentistry
Zhenyang Cai, Jiaming Zhang, Junjie Zhao +21
Reliable interpretation of multimodal data in dentistry is essential for automated oral healthcare, yet current multimodal large language models (MLLMs) struggle to capture fine-gr…