3 papers
cs.AI2026
ClinLens: Towards Long-Horizon LLM Agents for Longitudinal Multimodal Clinical Data Science
Yuan Zhu, Ethan B. Liu, Frank Nie +3
Automating clinical data science requires agents to translate patient-centric objectives into executable workflows grounded in longitudinal multimodal evidence. Existing benchmarks…
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
Question answering (QA) over irregular clinical time series (ICTS) plays a pivotal role in a wide range of healthcare applications. Although recent multimodal time-series large lan…
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…