Author

Patrick Langer

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#machine learning Preprint Sep 2026

OpenTSLM TeeMoE: A Unified Time-Series Language Model for Forecasting, Contextual Prediction, and Reasoning

Real-world time-series applications increasingly require models that can handle time series forecasting, context-conditioned prediction, and language-based temporal reasoning. Yet current time-series foundation models remain fragmented across these capabilities: numerical specialists often provide the strongest forecas...

Tony Chen, Timo Stoffregen, Maxwell A. Xu et al. · 0 citations

#machine learning Preprint Aug 2026

TimeRLM: Recursive Language Models Enable Precise Anomaly Localization in Long-Context Time-Series

TimeRLM, an RLM formulation for time-series that sequentially manipulates the signal using code and vision capabilities, and AnomalyXL, a synthetic long-context anomaly localization benchmark with programmatically injected anomalies that require precise retrieval.

Nicolas Zumarraga, Lorenzo Steno, Ning Wang et al. · 0 citations