SOURCE-LINKED INTELLIGENCE
TimeBraid: Unifying Time Series and Language for Understanding and Forecasting
We present TimeBraid, a series of unified time-series and language models that align pretrained language models and pretrained time-series foundation models through interleaved global residual attention layers. Each model inherits knowledge, instruction following, and reasoning from one side, continuous-signal perception and zero-shot forecasting from the other, and fuses the two in a shared representation space where both modalities are understood and generated. We study the design choices that make such unified modeling work: where to align the two representation spaces, how to ground langua
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-24T13:30:02.000Z
First collected: 2026-09-25T06:12:46.948Z. This is not the publication date.