10 citations · 22 across the 4 of their papers we have counts for
4 papers
Biomedical Large Languages Models Seem not to be Superior to Generalist Models on Unseen Medical Data
Felix J. Dorfner, Amin Dada, Felix Busch +8
Large language models (LLMs) have shown potential in biomedical applications, leading to efforts to fine-tune them on domain-specific data. However, the effectiveness of this appro…
LongHealth: A Question Answering Benchmark with Long Clinical Documents
Lisa Adams, Felix Busch, Tianyu Han +7
Background: Recent advancements in large language models (LLMs) offer potential benefits in healthcare, particularly in processing extensive patient records. However, existing benc…
Generalist embedding models are better at short-context clinical semantic search than specialized embedding models
Jean-Baptiste Excoffier, Tom Roehr, Alexei Figueroa +3
The increasing use of tools and solutions based on Large Language Models (LLMs) for various tasks in the medical domain has become a prominent trend. Their use in this highly criti…
Medical Foundation Models are Susceptible to Targeted Misinformation Attacks
Tianyu Han, Sven Nebelung, Firas Khader +9
Large language models (LLMs) have broad medical knowledge and can reason about medical information across many domains, holding promising potential for diverse medical applications…