most citedClosing the gap between open-source and commercial large language models for medical evidence summarization

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

collaborators

2 papers

cs.AI2026

Grounding Clinical AI Competency in Human Cognition Through the Clinical World Model and Skill-Mix Framework

Seyed Amir Ahmad Safavi-Naini, Elahe Meftah, Josh Mohess +11

The competency of any intelligent agent is bounded by its formal account of the world in which it operates. Clinical AI lacks such an account. Existing frameworks address evaluatio…

cs.CL2024★ 2 cited

Closing the gap between open-source and commercial large language models for medical evidence summarization

Gongbo Zhang, Qiao Jin, Yiliang Zhou +11

Large language models (LLMs) hold great promise in summarizing medical evidence. Most recent studies focus on the application of proprietary LLMs. Using proprietary LLMs introduces…