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Decoupling Perception from Description: Computation-Grounded Representation Alignment between Multivariate Time Series and Language
Training multimodal models to align time series with language runs into a self-supervision trap. The usual recipe asks an LLM to read a series and write a description, so label quality is capped by the perceptual skill the model is supposed to learn. The data can never teach more than the labeler al
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