English(EN) EvoAlloc: A Self-Evolving Resource Allocation Agent for Efficient Program Evolution

EvoAlloc代理通过自适应资源分配优化LLM程序进化

作者 PulseAugur 编辑部 · [1 个来源] · 2026-10-09 04:00

研究人员开发了EvoAlloc，这是一种旨在优化LLM程序进化资源分配的新型代理。与使用固定策略的现有方法不同，EvoAlloc根据过去的搜索经验学习和调整其资源分配。这种自适应进化的方法显著减少了对完整评估和LLM token的需求，以更少的计算资源实现了更好的性能。 AI

影响这种方法通过在进化过程中优化资源分配，有可能显著降低开发AI模型的计算成本。

排序理由该集群包含一篇研究论文，详细介绍了LLM程序进化中资源分配的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

AI 生成摘要 · Google Gemini · 来自 1 个来源。我们如何撰写摘要 →

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Newsworthiness bucket: Tool; 该集群包含一篇研究论文，详细介绍了LLM程序进化中资源分配的新方法。[lever_c_demoted from research: ic=1 ai=1.0]
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arXiv cs.AI TIER_1 English(EN) · Yanning Dai, Yuhui Wang, Nanbo Li, Wenyi Wang, J\"urgen Schmidhuber · 2026-10-09 04:00

EvoAlloc：一种自适应演化资源分配代理，用于高效程序演化

arXiv:2610.12086v1 Announce Type: new Abstract: LLM-based program evolution relies on evaluation feedback to guide the iterative search for high-performing programs. However, evaluation is often computationally expensive, making it essential to allocate limited resources to candi…