Author

Do Dai

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Jul 2026

Expert-Guided Forecast Editing for Time-Series Foundation Models

DEFT is introduced, an expert-guided forecast editing framework that balances the two by first exploiting the foundation model's predictive samples in a decomposed trend--seasonal space, then exploring around them via component-wise refinement.

Hung Le, M. Nguyen, Manh Nguyen et al. · arXiv.org · 0 citations

Jul 2026

LLM as Forecasting Planner: Training-Free Text Conditioning for Time-Series Foundation Models

Experiments on Context-is-Key and Time-MMD across two TSFM backbones (Chronos and TimesFM) and four LLMs show that \rc{} delivers consistent improvements across model choices, supporting sequential search as an effective training-free approach to text-conditioned forecasting.

H. Nguyen, Dung Nguyen, M. Nguyen et al. · arXiv.org · 0 citations