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Wanyun Ling

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#machine learning Preprint Sep 2026

Tracing the Evidence Behind Zero-Shot Time-Series Forecasting: A Source-First Taxonomy and Audit Framework

Zero-shot time-series forecasting (TSF) is often described as forecasting without target-specific parameter updates, but that training-status condition does not specify what evidence the system may use. A frozen language model prompted with serialized values, a time-series model pretrained on broad forecasting corpora,...

De-Lu Kong, Wan-Yun Ling, Chen-Xi Liu et al. · 0 citations
#machine learning Preprint Aug 2026

Decoupling Perception from Description: Computation-Grounded Representation Alignment between Multivariate Time Series and Language

CGTime, the 4B-parameter computation-grounded time-series-language model, decoupling perception from description, outperforms far larger general-purpose models on multivariate understanding tasks and attains the best multivariate fact score on a held-out benchmark.

Xinran Feng, Yi Xie, Chao Zhang et al. · 0 citations

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