Converting time series into discrete tokens via a VQ-VAE codebook and feeding them through a shared embedding layer with text improves a language model's accuracy on a synthetic circuit-based time series reasoning benchmark.
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TempoGPT: Enhancing Time Series Reasoning via Quantizing Embedding
Converting time series into discrete tokens via a VQ-VAE codebook and feeding them through a shared embedding layer with text improves a language model's accuracy on a synthetic circuit-based time series reasoning benchmark.