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UPLOTS: A Unified Pretrained Language Model for Constrained Time-series Generation

This work proposes UPLOTS, a Unified, Prompt-guided Language model framework that leverages a single pre-trained transformer backbone guided by learned constraint prompts, enabling on-demand generation with precise pattern control in time-series generation.

Du Yin, Hao Xue, Jin-Liang Deng et al. · 0 citations

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