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Zhiyuan Wang

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Preprint Aug 2026

Cooperative Coevolution for Resource-Constrained Agentic LLM Post-Training

CoPES is introduced, a cooperative coevolutionary method that decomposes the full parameter space into lower-dimensional subspaces and searches over them cooperatively to improve optimization efficiency and demonstrate an improved trade-off between memory requirements and training time for agentic LLM post-training und...

Zhiyuan Wang, Sheng-Cai Liu, Jiahao Wu et al. · 2 citations
Preprint Aug 2026

Evolving Parallel Algorithm Portfolios via Potential-Aware Instance Generation with LLMs

The potential gain metric is proposed, a novel metric that eliminates the need for reference solutions and consistently outperforms state-of-the-art LLM-ACP baselines, notably achieving a 19.76% relative improvement for TSP Greedy Constructive portfolios.

Shao-Feng Zhang, Sheng-Cai Liu, Zhi-Yuan Wang et al. · 0 citations

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