Author

Chengao Shen

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#artificial intelligence Preprint Aug 2026

MetaCaster: Meta-Harness-Optimized Agent for End-to-End Few-Shot Learning of Lightweight Time Series Forecasters

This work proposes MetaCaster, a meta-harness-optimized multi-agent framework that uses agentic data generation to automatically train specialized lightweight forecasters from only a few examples and textual contexts and highlights a new TSF paradigm in which agents act not as forecasters but as intermediary engineers...

Chengao Shen, Wen-Chao Yu, Fang-Yu Wu et al. · 0 citations