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Yao-Long Teng

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#artificial intelligence Preprint Oct 2026

HTN-Orchestrate: A Hierarchical Task Network Framework for Multi-Agent Orchestration

Orchestrating multiple agents on a complex task requires reconciling local subtask execution with global task planning. Dynamic dispatch approaches provide execution flexibility but do not explicitly model subtask hierarchies or dependencies, while predefined workflows impose this structure but fix the decomposition be...

Yan-Chen Deng, Jian-Guo Huang, Yao-Long Teng et al. · 0 citations
#artificial intelligence Preprint Sep 2026

JET: Judge-Guided Evolution at Test Time for Agent Programs

JET is introduced, which evolves an executable judge on labeled source trajectories, then freezes and transfers it to guide target-side program evolution, andalyses identify useful reward-prediction logic in the evolved code and show that better final selection alone cannot explain the gains.

Yao-Long Teng, Jia-Yi Cai, Bo An · 0 citations

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