cs.NE · 2026-10-05 · No. 134

Neural and Evolutionary Computing, 2026-10-05.

2 new papers in cs.NE. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

2 entries
  1. 01

    FrugalEvo: Towards Cost-Aware LLM-Guided Program Evolution

    Hui Chen, Xuan Qi, James Xu Zhao, Zhaopeng Feng, Shilong Liu, Kuang Xu, Pang Wei Koh, Bryan Hooi

    cs.NE · cs.AI · cs.CL

    LLM-guided evolutionary methods, such as AlphaEvolve, have emerged as powerful approaches for challenging computational optimization problems, such as circle packing. However, prior work typically optimizes performance gain over a fixed number of iterations. We argue that practical optimization should maximize gain per unit cost. To this end, we propose FrugalEvo, a cost-aware evolutionary framework where a stronger, higher-cost LLM explores...

    arxiv.org/abs/2610.03675 · PDF

  2. 02

    Evolving Hybrid Quantum-Classical Architectures for Image Classification

    Devroop Kar, Daniel Krutz, Travis Desell

    cs.NE · cs.AI · cs.CV · cs.LG · quant-ph

    Hybrid quantum classical neural networks integrate parameterized quantum circuits (PQCs) with established deep learning architectures, but their performance depends strongly on the choice of quantum circuit architecture, a choice that remains largely manual. Most existing approaches rely on hand-designed or fixed circuit ansätze, requiring circuit structure, gate composition, and qubit connectivity to be specified in advance with no guarantee...

    arxiv.org/abs/2610.03220 · PDF

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