Author

Mingxuan Yuan

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Preprint Aug 2026

Hyper-ES: Effective Evolution Strategies for LLM Reasoning via Descent Direction Merging

This work proposes Hyper-ES, a subspace-based ES framework that avoids the weakness of ES in full-parameter search while exploiting its strength in low-dimensional optimization, and consistently outperforms GRPO-LoRA while requiring 10% fewer space-consuming gradient updates.

Yuntian Gu, Zhi Zheng, Yun-Peng Ba et al. · 0 citations

#machine learning Preprint Aug 2026

Understanding Evolution Strategies for LLM Reasoning: Broader Reasoning Coverage than GRPO

These findings position ES as a distinct reasoning post-training paradigm rather than a less effective, memory-efficient alternative to GRPO, and study how hyperparameter design affects the effectiveness of ES, demonstrating that ES requires a smaller population size in a larger LLM.

Yunpeng Ba, Zhi Zheng, Yue Xie et al. · 0 citations

Preprint Aug 2026

Beyond Average Performance: Dynamic Instance Clustering and Specialized Algorithm Design in LLM-Assisted Evolutionary Search

DyCA treats instance clustering as a co-evolving component within the search process, reusing accumulated evaluation data as feature-free signals to progressively partition instances with similar algorithmic response patterns, thereby enabling finer-grained and more adaptive guidance for specialized algorithm design.

Qinglong Hu, Qingfu Zhang, Fei Liu et al. · 0 citations