Understanding Why Large Language Models Can Be Ineffective in Time Series Analysis: The Impact of Modality Alignment Article Swipe

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Liangwei Nathan Zheng , Chang George Dong , Wei Emma Zhang , Lin Yue , Miao Xu , Olaf Maennel , Weitong Chen ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.1145/3711896.3737169

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Computer Science

Time Series

Artificial Intelligence

Machine Learning

Biology

Paleontology

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Computer science Modality (human–computer interaction) Series (stratigraphy) Time series Natural language processing Artificial intelligence Machine learning Biology Paleontology

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Type: article
Language: en
Landing Page: https://doi.org/10.1145/3711896.3737169
PDF: https://dl.acm.org/doi/pdf/10.1145/3711896.3737169
OA Status: gold
Cited By: 1
References: 17
Related Works: 10
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DOI: https://doi.org/10.1145/3711896.3737169

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Title: Understanding Why Large Language Models Can Be Ineffective in Time Series Analysis: The Impact of Modality Alignment

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Type: article

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Language: en

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Publication year: 2025

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Publication date: 2025-08-03

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Authors: Liangwei Nathan Zheng, Chang George Dong, Wei Emma Zhang, Lin Yue, Miao Xu, Olaf Maennel, Weitong Chen

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Landing page: https://doi.org/10.1145/3711896.3737169

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Concepts: Computer science, Modality (human–computer interaction), Series (stratigraphy), Time series, Natural language processing, Artificial intelligence, Machine learning, Biology, Paleontology

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Cited by: 1

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