Pre-trained multivariate time-series imputation models frequently return values that violate known relations between variables, and a diffusion-based score can detect and filter these errors.
Recent advances in natural language processing via large pre-trained language models: A survey
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Hallucination Detection and Mitigation with Diffusion in Multi-Variate Time-Series Foundation Models
Pre-trained multivariate time-series imputation models frequently return values that violate known relations between variables, and a diffusion-based score can detect and filter these errors.