Author

Shang-Hang Liu

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#artificial intelligence Preprint Oct 2026

EvoCast: Reliable Autonomous Research Agents for Iterative Forecasting Architecture Evolution

Deep time-series forecasting models have rapidly diversified, yet adapting them to a specific task still requires extensive expert effort in model selection, mechanism diagnosis, architecture design, implementation, and evaluation. Existing AutoML methods are constrained by predefined search spaces, while general-purpo...

Kai-Peng Xu, Xiang Yan, Yan Wang et al. · 0 citations

#artificial intelligence Preprint Sep 2026

DualCast: A Dual-Path Language Model for Bimodal Financial Time-Series Forecasting

Financial time-series forecasting must capture price dynamics across heterogeneous assets while incorporating news available at prediction time. We introduce DualCast, a dual-path framework that extends a frozen language model with a discrete financial vocabulary. Each log-return patch is represented by a learned summa...

Wen-Tao Zhao, Hong-Qiang Wu, Shang-Hang Liu et al. · 0 citations