CLIR-Bench: Benchmarking Multimodal Question Answering over Irregular Clinical Time Series
英文标题：CLIR-Bench: Benchmarking Multimodal Question Answering over Irregular Clinical Time Series
arXiv:2607.09880v1 Announce Type: new Abstract: Clinical time series are central to patient monitoring, risk assessment, and clinical decision support. However, they are often sparse, irregularly sampled, and asynchronous, making it difficult for models to identify the temporal evidence required fo
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arXiv:2607.09880v1 Announce Type: new Abstract: Clinical time series are central to patient monitoring, risk assessment, and clinical decision support. However, they are often sparse, irregularly sampled, and asynchronous, making it difficult for models to identify the temporal evidence required fo
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