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CLIR-Bench is an evidence-auditable benchmark for multimodal question answering over irregular clinical time series, constructed from de-identified ICU records in MIMIC-IV. It contains 6,600 multiple-choice QA instances spanning 11 clinical variables and intervention signals, organized into four core capability dimensions: temporal understanding, reasoning, forecasting, and decision-making. Each question is explicitly linked to timestamp-level evidence and task-specific answer derivation rules, enabling comprehensive evaluation not only of answer accuracy but also of evidence faithfulness, evidence reliance, and causal sensitivity. By focusing on sparse, asynchronous, missing, and long-horizon clinical observations, CLIR-Bench provides a realistic and diagnostic testbed for assessing whether models can reliably identify and reason over patient-specific temporal evidence.

⚠️ Note: The current version does not include time-series data and evidence derived from MIMIC-IV.
Access to data involving MIMIC-IV-related tasks requires additional credentialing and approval from PhysioNet.
Researchers can apply for access via the official website: MIMIC-IV. 

📊 CLIR-Bench Overview

CLIR-Bench is an evidence-auditable benchmark for multimodal QA over irregular clinical time series.

Pipeline

📄 Paper

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