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Hybrid Quantum-Classical Neural Architecture Search
突破传统神经网络设计，用量子计算加速架构搜索，前沿交叉研究。
arXiv:2605.18345v1 Announce Type: cross Abstract: Hybrid quantum-classical neural networks (HQNNs) are emerging as a practical approach for quantum ma…
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LLMForge: Multi-Backend Hardware-Aware Neural Architecture Search with Infinite-Head Attention for Edge Language Models
首次将无限头注意力融入硬件感知神经架构搜索，为边缘端百亿参数以下语言模型提供多后端高效部署方案。
arXiv:2605.17653v1 Announce Type: new Abstract: Sub-billion-parameter Transformer language models are increasingly deployed on edge devices, where the…
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Searching on a Budget: HW-NAS with 10 Latency Probes
低资源硬件感知NAS：仅需10次延迟探测就能高效搜索网络架构，降低对精确延迟模型的依赖
arXiv:2504.00663v2 Announce Type: replace Abstract: Existing hardware-aware NAS (HW-NAS) methods typically assume access to precise information circa …
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Surrogate Neural Architecture Codesign Package (SNAC-Pack)
面向FPGA部署的神经架构协同设计包，解决NAS与硬件成本脱节问题，引入多维资源预算联合搜索。
arXiv:2605.16138v1 Announce Type: cross Abstract: Neural architecture search (NAS) is a powerful approach for automating model design, but existing me…
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Agentic Discovery of Neural Architectures: AIRA-Compose and AIRA-Design
用LLM代理自主设计基础模型架构，AIRA-Compose与AIRA-Design双框架实现递归自改进，跳出标准Transformer限制。
arXiv:2605.15871v1 Announce Type: new Abstract: Toward recursive self-improvement, we investigate LLM agents autonomously designing foundation models …