Author

Xilin Dai

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#artificial intelligence Preprint Sep 2026

When Tomorrow Becomes Today: Self-Evolving Policies for Agentic Time-Series Forecasting

Agentic time series forecasting concerns systems whose underlying mechanisms evolve, making the relative effectiveness of numerical models, reasoning strategies, and intervention rules inherently time-varying. Consequently, a time series agent must adapt the forecasts it produces and the orchestration policy that deter...

Yi-Fan Hu, Xilin Dai, Zhi-Yuan Qu et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Beyond Numerical Time Series: A Unified Benchmark for Multimodal Forecasting with Heterogeneous Context

Most time series forecasting benchmarks remain numerical-centric and provide limited support for evaluating contextual information that shapes real-world temporal dynamics. Existing multimodal benchmarks also suffer from limited data and context coverage, fragmented evaluation settings, and overreliance on aggregate ev...

Peng Chen, Zhi-Hao Zhuang, Hong-Zhou Chen et al. · 0 citations