From the 1 of 2 linked papers with an AI index.
2 papers
cs.AI2026
A Cost-Effective Multimodal LLM Reasoning Framework for Question Answering over Irregular Clinical Time Series
Frank Nie, Ethan B Liu, Yuan Zhu +2
The paper introduces ClinPRISM, a multimodal large language model framework that efficiently answers questions over irregular clinical time series by using a multi-scale encoder, a…
cs.CL2026
CLIR-Bench: Benchmarking Multimodal Question Answering over Irregular Clinical Time Series
Frank Nie, Ethan B. Liu, Yuan Zhu +3
Clinical time series are central to patient monitoring, risk assessment, and clinical decision support. However, they are often sparse, irregularly sampled, and asynchronous, makin…