Author

Wen-Chao Yu

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#artificial intelligence Preprint Oct 2026

Small but Mighty: Test Suites as Improvement Signals for Self-Evolving Agents

A self-evolving agent rewrites its own harness and must decide which rewrites to keep, so its improvement signal is the check a rewrite has to pass. Verifying a rewrite by agent rollout is expensive and subjective, while executable checks such as the repository's own tests are too sparse to catch behavior-changing rewr...

Yu-Tong Cheng, Wei Cheng, Wen-Chao Yu et al. · 0 citations

#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