English(EN) MMTClinic: Multimodal, Multilingual Time Series Question Answering and Reasoning Benchmark for Clinical Domain

新的MMTClinic基准测试LLM在多语言临床时间序列数据上的表现

作者 PulseAugur 编辑部 · [1 个来源] · 2026-09-07 04:00

研究人员推出了MMTClinic，这是一个旨在评估大型语言模型（LLM）在临床时间序列数据上表现的新基准。该基准包含文本、医学影像和生理信号，涵盖五种语言（英语、印地语、孟加拉语、马拉地语和泰米尔语）的30,000个问答对。MMTClinic旨在评估LLM在关键临床任务上的能力，如死亡率预测、心率预测和SOFA评分估算，评估结果显示模型、语言和数据模态之间存在显著的性能差异。 AI

影响该基准有望加速开发更具包容性和更强大的AI系统，以支持临床决策。

排序理由该条目描述了一个用于评估AI模型在临床数据上表现的新基准，该基准在学术论文中发布。[lever_c_demoted from research: ic=1 ai=1.0]

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arXiv cs.AI TIER_1 English(EN) · Sourav Malakar, Harshit Nigam, Akash Ghosh, Sriparna Saha, Amlan Chakrabarti, Saptarsi Goswami, Priti Singh · 2026-09-07 04:00

MMTClinic: 临床领域的模态多、语言多时间序列问答与推理基准

arXiv:2609.04842v1 Announce Type: cross Abstract: Time-series data in clinical settings is crucial for capturing dynamic changes in a patient's health over time, enabling timely diagnosis, personalized treatment, and early detection of critical events. However, the development of…

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MMTClinic: 临床领域的模态多、语言多时间序列问答与推理基准

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