Author

Haibo Wang

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#artificial intelligence Preprint Oct 2026

Where Should the Evaluation Budget Go in LLM-Driven Agent Scaffold Evolution?

This work proposes \method, an evaluation allocation framework that combines sparse search-time feedback with targeted final confirmation and achieves higher mean performance than full evaluation in most settings while using approximately half as many evaluation cells.

Si-Chun Luo, Yi Huang, Mu-Kai Li et al. · 0 citations

#artificial intelligence Jul 2025

AsyncFlow: An Asynchronous Streaming RL Framework for Efficient LLM Post-Training

The architecture presented in this work provides actionable insights for designing next-generation RL training systems, and introduces a distributed data storage and transfer module that provides panoramic data management and fine-grained scheduling capabilities in a fully streamed manner.

Zhenyu Han, Ansheng You, Haibo Wang et al. · arXiv.org · 49 citations · ⚡8