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Author

Ethan B. Liu

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Jul 2026

A Cost-Effective Multimodal LLM Reasoning Framework for Question Answering over Irregular Clinical Time Series

ClinPRISM, a cost-effective multimodal LLM reasoning framework for question answering over ICTS data, is proposed and achieves state-of-the-art performance on the held-out evaluation benchmark while using only 16 time-series tokens and achieving an average inference latency of 0.15 seconds per question.

Frank Nie, Ethan B. Liu, Yuan Zhu et al. · 1 citation
Jul 2026

ClinLens: Towards Long-Horizon Coding Agents for Longitudinal Multimodal Clinical Data Science

CLINLENS is introduced, a benchmark of 200 executable tasks over five linked MIMIC resources spanning structured electronic health records, notes, electrocardiograms, chest radiographs, and echocardiograms, which exposes a substantial gap between runnable submissions and correct clinical analyses.

Yuan Zhu, Ethan B. Liu, Frank Nie et al. · 0 citations
Jul 2026

CLIR-Bench: Benchmarking Multimodal Question Answering over Irregular Clinical Time Series

CLIR-Bench is introduced, a benchmark for irregular clinical time series QA constructed from de-identified ICU records through a principled four-stage pipeline, enabling evaluation of both answer accuracy and evidence use.

Frank Nie, Ethan B. Liu, Yuan Zhu et al. · 2 citations

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