English(EN) Multi-Objective Coevolution of Prompts and Templates for Circuit Approximation

LLM驱动的协同进化算法设计优化的近似乘法器

作者 PulseAugur 编辑部 · [1 个来源] · 2026-06-11 09:14

研究人员开发了一种新颖的协同进化算法，该算法使用大型语言模型（LLM）来设计用于电路近似的近似乘法器。该方法无需领域特定的LLM训练即可自动化优化过程。该算法同时进化候选电路和提示模板，以指导LLM的修改，从而在各种设计目标上实现比现有优化库更好的误差-面积权衡。 AI

排序理由学术论文，详细介绍了使用LLM进行电路近似的新方法。[lever_c_demoted from research: ic=1 ai=1.0]

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本文如何被排名

Signal score: 0 / 100; Composite score across the factors below. Higher = stronger signal that this story matters right now.
Newsworthiness bucket: Tool; 学术论文，详细介绍了使用LLM进行电路近似的新方法。[lever_c_demoted from research: ic=1 ai=1.0]
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arXiv cs.NE (Neural & Evolutionary) TIER_1 English(EN) · Lukas Sekanina · 2026-06-11 09:14

用于电路近似的多目标提示与模板协同进化

Approximate multipliers deliberately relax computational accuracy to achieve gains in power efficiency, latency, and silicon area, which makes them well-suited for error-resilient applications such as neural networks. In this work, we introduce a co-evolutionary algorithm that le…