3 papers
cs.LG2025
Introducing Answered with Evidence -- a framework for evaluating whether LLM responses to biomedical questions are founded in evidence
Julian D Baldwin, Christina Dinh, Arjun Mukerji +2
The growing use of large language models (LLMs) for biomedical question answering raises concerns about the accuracy and evidentiary support of their responses. To address this, we…
cs.CL2025
RWESummary: A Framework and Test for Choosing Large Language Models to Summarize Real-World Evidence (RWE) Studies
Arjun Mukerji, Michael L. Jackson, Jason Jones +1
Large Language Models (LLMs) have been extensively evaluated for general summarization tasks as well as medical research assistance, but they have not been specifically evaluated f…
cs.CL2024
Answering real-world clinical questions using large language model based systems
Yen Sia Low, Michael L. Jackson, Rebecca J. Hyde +24
Evidence to guide healthcare decisions is often limited by a lack of relevant and trustworthy literature as well as difficulty in contextualizing existing research for a specific p…