Concept时序多模态大语言模型 / TS-MLLMs / Time Series Multimodal Large Language Model
TS-MLLM
A multimodal model that combines time-series data processing with large language model reasoning capabilities, applied to time-series data analysis and question-answering tasks in domains such as finance, healthcare, and industrial monitoring.
Timeline (last 90 days)
Sep 15
Temporal multimodal large language models (TS-MLLMs) leverage the reasoning capabilities of large language models to handle question-answering tasks, but struggle to genuinely capture dynamic temporal patterns, typically providing implicit reasoning that lacks explicit explanation of the logic behind conclusions.
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