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Multi-modal large language models (MLLMs) have enabled numerous advances in understanding and reasoning in domains like vision, but we have not yet seen this broad success for time-series.
Analysis of a sleep-dependent neuronal feedback loop: the slow-wave microcontinuity of the eeg
B. Kemp, A.H. Zwinderman, B. Tuk, H.A.C. Kamphuisen, and J.J.L. Oberye · 2000
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The ucr time series classification archive, October 2018
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Language models still struggle to zero-shot reason about time series
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Large language models are zero-shot time series forecasters, 2024
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Albert Q Jiang, Alexandre Sablayrolles, Arthur Mensch, Chris Bamford, Devendra Singh Chaplot, Diego de las Casas, Florian Bressand, Gianna Lengyel, Guillaume Lample, Lucile Saulnier, et al · 2023
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Visual instruction tuning
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Improved baselines with visual instruction tuning
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